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### opus-mt-fi-zne
* source languages: fi
* target languages: zne
* OPUS readme: [fi-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-zne/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-zne/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fi.zne | 22.7 | 0.464 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fi-zne | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fi",
"zne",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fi-zne
* source languages: fi
* target languages: zne
* OPUS readme: fi-zne
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.7, chr-F: 0.464
| [
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] | [
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"### opus-mt-fi-zne\n\n\n* source languages: fi\n* target languages: zne\n* OPUS readme: fi-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.464"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fi #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi-zne\n\n\n* source languages: fi\n* target languages: zne\n* OPUS readme: fi-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.7, chr-F: 0.464"
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] |
null | null | transformers |
### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI
* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/README.md)
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+giella-2020-04-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.zip)
* test set translations: [opus+giella-2020-04-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.test.txt)
* test set scores: [opus+giella-2020-04-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| giella.fi.sms | 58.4 | 0.776 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fi_nb_no_nn_ru_sv_en-SAMI | [
"transformers",
"pytorch",
"marian",
"text2text-generation",
"translation",
"fi",
"nb",
"no",
"nn",
"ru",
"sv",
"en",
"sami",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI
* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: opus+URL
* test set translations: opus+URL
* test set scores: opus+URL
Benchmarks
----------
testset: URL, BLEU: 58.4, chr-F: 0.776
| [
"### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776"
] | [
"TAGS\n#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776"
] | [
72,
206
] | [
"passage: TAGS\n#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fi\\_nb\\_no\\_nn\\_ru\\_sv\\_en-SAMI\n\n\n* source languages: fi,nb,no,nn,ru,sv,en\n* target languages: se,sma,smj,smn,sms\n* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms\n* dataset: opus+giella\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: opus+URL\n* test set translations: opus+URL\n* test set scores: opus+URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 58.4, chr-F: 0.776"
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null | null | transformers |
### fiu-eng
* source group: Finno-Ugrian languages
* target group: English
* OPUS readme: [fiu-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh kpv krl liv_Latn mdf mhr myv sma sme udm vro
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi-fineng.fin.eng | 22.9 | 0.513 |
| newsdev2018-enet-esteng.est.eng | 26.3 | 0.543 |
| newssyscomb2009-huneng.hun.eng | 21.2 | 0.494 |
| newstest2009-huneng.hun.eng | 19.8 | 0.486 |
| newstest2015-enfi-fineng.fin.eng | 24.1 | 0.521 |
| newstest2016-enfi-fineng.fin.eng | 25.6 | 0.541 |
| newstest2017-enfi-fineng.fin.eng | 28.7 | 0.560 |
| newstest2018-enet-esteng.est.eng | 26.5 | 0.549 |
| newstest2018-enfi-fineng.fin.eng | 21.2 | 0.490 |
| newstest2019-fien-fineng.fin.eng | 25.6 | 0.533 |
| newstestB2016-enfi-fineng.fin.eng | 21.6 | 0.500 |
| newstestB2017-enfi-fineng.fin.eng | 24.3 | 0.526 |
| newstestB2017-fien-fineng.fin.eng | 24.3 | 0.526 |
| Tatoeba-test.chm-eng.chm.eng | 1.2 | 0.163 |
| Tatoeba-test.est-eng.est.eng | 55.3 | 0.706 |
| Tatoeba-test.fin-eng.fin.eng | 48.7 | 0.660 |
| Tatoeba-test.fkv-eng.fkv.eng | 11.5 | 0.384 |
| Tatoeba-test.hun-eng.hun.eng | 46.7 | 0.638 |
| Tatoeba-test.izh-eng.izh.eng | 48.3 | 0.678 |
| Tatoeba-test.kom-eng.kom.eng | 0.7 | 0.113 |
| Tatoeba-test.krl-eng.krl.eng | 36.1 | 0.485 |
| Tatoeba-test.liv-eng.liv.eng | 2.1 | 0.086 |
| Tatoeba-test.mdf-eng.mdf.eng | 0.9 | 0.120 |
| Tatoeba-test.multi.eng | 47.8 | 0.648 |
| Tatoeba-test.myv-eng.myv.eng | 0.7 | 0.121 |
| Tatoeba-test.sma-eng.sma.eng | 1.7 | 0.101 |
| Tatoeba-test.sme-eng.sme.eng | 7.8 | 0.229 |
| Tatoeba-test.udm-eng.udm.eng | 0.9 | 0.166 |
### System Info:
- hf_name: fiu-eng
- source_languages: fiu
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-eng/opus2m-2020-07-31.test.txt
- src_alpha3: fiu
- tgt_alpha3: eng
- short_pair: fiu-en
- chrF2_score: 0.648
- bleu: 47.8
- brevity_penalty: 0.988
- ref_len: 71020.0
- src_name: Finno-Ugrian languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: fiu
- tgt_alpha2: en
- prefer_old: False
- long_pair: fiu-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["se", "fi", "hu", "et", "fiu", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fiu-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"se",
"fi",
"hu",
"et",
"fiu",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"se",
"fi",
"hu",
"et",
"fiu",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fiu-eng
* source group: Finno-Ugrian languages
* target group: English
* OPUS readme: fiu-eng
* model: transformer
* source language(s): est fin fkv\_Latn hun izh kpv krl liv\_Latn mdf mhr myv sma sme udm vro
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.9, chr-F: 0.513
testset: URL, BLEU: 26.3, chr-F: 0.543
testset: URL, BLEU: 21.2, chr-F: 0.494
testset: URL, BLEU: 19.8, chr-F: 0.486
testset: URL, BLEU: 24.1, chr-F: 0.521
testset: URL, BLEU: 25.6, chr-F: 0.541
testset: URL, BLEU: 28.7, chr-F: 0.560
testset: URL, BLEU: 26.5, chr-F: 0.549
testset: URL, BLEU: 21.2, chr-F: 0.490
testset: URL, BLEU: 25.6, chr-F: 0.533
testset: URL, BLEU: 21.6, chr-F: 0.500
testset: URL, BLEU: 24.3, chr-F: 0.526
testset: URL, BLEU: 24.3, chr-F: 0.526
testset: URL, BLEU: 1.2, chr-F: 0.163
testset: URL, BLEU: 55.3, chr-F: 0.706
testset: URL, BLEU: 48.7, chr-F: 0.660
testset: URL, BLEU: 11.5, chr-F: 0.384
testset: URL, BLEU: 46.7, chr-F: 0.638
testset: URL, BLEU: 48.3, chr-F: 0.678
testset: URL, BLEU: 0.7, chr-F: 0.113
testset: URL, BLEU: 36.1, chr-F: 0.485
testset: URL, BLEU: 2.1, chr-F: 0.086
testset: URL, BLEU: 0.9, chr-F: 0.120
testset: URL, BLEU: 47.8, chr-F: 0.648
testset: URL, BLEU: 0.7, chr-F: 0.121
testset: URL, BLEU: 1.7, chr-F: 0.101
testset: URL, BLEU: 7.8, chr-F: 0.229
testset: URL, BLEU: 0.9, chr-F: 0.166
### System Info:
* hf\_name: fiu-eng
* source\_languages: fiu
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']
* src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* tgt\_constituents: {'eng'}
* src\_multilingual: True
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fiu
* tgt\_alpha3: eng
* short\_pair: fiu-en
* chrF2\_score: 0.648
* bleu: 47.8
* brevity\_penalty: 0.988
* ref\_len: 71020.0
* src\_name: Finno-Ugrian languages
* tgt\_name: English
* train\_date: 2020-07-31
* src\_alpha2: fiu
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: fiu-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fiu-eng\n\n\n* source group: Finno-Ugrian languages\n* target group: English\n* OPUS readme: fiu-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.9, chr-F: 0.513\ntestset: URL, BLEU: 26.3, chr-F: 0.543\ntestset: URL, BLEU: 21.2, chr-F: 0.494\ntestset: URL, BLEU: 19.8, chr-F: 0.486\ntestset: URL, BLEU: 24.1, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.541\ntestset: URL, BLEU: 28.7, chr-F: 0.560\ntestset: URL, BLEU: 26.5, chr-F: 0.549\ntestset: URL, BLEU: 21.2, chr-F: 0.490\ntestset: URL, BLEU: 25.6, chr-F: 0.533\ntestset: URL, BLEU: 21.6, chr-F: 0.500\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 1.2, chr-F: 0.163\ntestset: URL, BLEU: 55.3, chr-F: 0.706\ntestset: URL, BLEU: 48.7, chr-F: 0.660\ntestset: URL, BLEU: 11.5, chr-F: 0.384\ntestset: URL, BLEU: 46.7, chr-F: 0.638\ntestset: URL, BLEU: 48.3, chr-F: 0.678\ntestset: URL, BLEU: 0.7, chr-F: 0.113\ntestset: URL, BLEU: 36.1, chr-F: 0.485\ntestset: URL, BLEU: 2.1, chr-F: 0.086\ntestset: URL, BLEU: 0.9, chr-F: 0.120\ntestset: URL, BLEU: 47.8, chr-F: 0.648\ntestset: URL, BLEU: 0.7, chr-F: 0.121\ntestset: URL, BLEU: 1.7, chr-F: 0.101\ntestset: URL, BLEU: 7.8, chr-F: 0.229\ntestset: URL, BLEU: 0.9, chr-F: 0.166",
"### System Info:\n\n\n* hf\\_name: fiu-eng\n* source\\_languages: fiu\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: eng\n* short\\_pair: fiu-en\n* chrF2\\_score: 0.648\n* bleu: 47.8\n* brevity\\_penalty: 0.988\n* ref\\_len: 71020.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: fiu\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fiu-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fiu-eng\n\n\n* source group: Finno-Ugrian languages\n* target group: English\n* OPUS readme: fiu-eng\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh kpv krl liv\\_Latn mdf mhr myv sma sme udm vro\n* target language(s): eng\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.9, chr-F: 0.513\ntestset: URL, BLEU: 26.3, chr-F: 0.543\ntestset: URL, BLEU: 21.2, chr-F: 0.494\ntestset: URL, BLEU: 19.8, chr-F: 0.486\ntestset: URL, BLEU: 24.1, chr-F: 0.521\ntestset: URL, BLEU: 25.6, chr-F: 0.541\ntestset: URL, BLEU: 28.7, chr-F: 0.560\ntestset: URL, BLEU: 26.5, chr-F: 0.549\ntestset: URL, BLEU: 21.2, chr-F: 0.490\ntestset: URL, BLEU: 25.6, chr-F: 0.533\ntestset: URL, BLEU: 21.6, chr-F: 0.500\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 24.3, chr-F: 0.526\ntestset: URL, BLEU: 1.2, chr-F: 0.163\ntestset: URL, BLEU: 55.3, chr-F: 0.706\ntestset: URL, BLEU: 48.7, chr-F: 0.660\ntestset: URL, BLEU: 11.5, chr-F: 0.384\ntestset: URL, BLEU: 46.7, chr-F: 0.638\ntestset: URL, BLEU: 48.3, chr-F: 0.678\ntestset: URL, BLEU: 0.7, chr-F: 0.113\ntestset: URL, BLEU: 36.1, chr-F: 0.485\ntestset: URL, BLEU: 2.1, chr-F: 0.086\ntestset: URL, BLEU: 0.9, chr-F: 0.120\ntestset: URL, BLEU: 47.8, chr-F: 0.648\ntestset: URL, BLEU: 0.7, chr-F: 0.121\ntestset: URL, BLEU: 1.7, chr-F: 0.101\ntestset: URL, BLEU: 7.8, chr-F: 0.229\ntestset: URL, BLEU: 0.9, chr-F: 0.166",
"### System Info:\n\n\n* hf\\_name: fiu-eng\n* source\\_languages: fiu\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu', 'en']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: True\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: eng\n* short\\_pair: fiu-en\n* chrF2\\_score: 0.648\n* bleu: 47.8\n* brevity\\_penalty: 0.988\n* ref\\_len: 71020.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: English\n* train\\_date: 2020-07-31\n* src\\_alpha2: fiu\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: fiu-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
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] |
null | null | transformers |
### fiu-fiu
* source group: Finno-Ugrian languages
* target group: Finno-Ugrian languages
* OPUS readme: [fiu-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est | 2.0 | 0.252 |
| Tatoeba-test.est-fin.est.fin | 51.0 | 0.704 |
| Tatoeba-test.est-fkv.est.fkv | 1.1 | 0.211 |
| Tatoeba-test.est-vep.est.vep | 3.1 | 0.272 |
| Tatoeba-test.fin-est.fin.est | 55.2 | 0.722 |
| Tatoeba-test.fin-fkv.fin.fkv | 1.6 | 0.207 |
| Tatoeba-test.fin-hun.fin.hun | 42.4 | 0.663 |
| Tatoeba-test.fin-izh.fin.izh | 12.9 | 0.509 |
| Tatoeba-test.fin-krl.fin.krl | 4.6 | 0.292 |
| Tatoeba-test.fkv-est.fkv.est | 2.4 | 0.148 |
| Tatoeba-test.fkv-fin.fkv.fin | 15.1 | 0.427 |
| Tatoeba-test.fkv-liv.fkv.liv | 1.2 | 0.261 |
| Tatoeba-test.fkv-vep.fkv.vep | 1.2 | 0.233 |
| Tatoeba-test.hun-fin.hun.fin | 47.8 | 0.681 |
| Tatoeba-test.izh-fin.izh.fin | 24.0 | 0.615 |
| Tatoeba-test.izh-krl.izh.krl | 1.8 | 0.114 |
| Tatoeba-test.krl-fin.krl.fin | 13.6 | 0.407 |
| Tatoeba-test.krl-izh.krl.izh | 2.7 | 0.096 |
| Tatoeba-test.liv-fkv.liv.fkv | 1.2 | 0.164 |
| Tatoeba-test.liv-vep.liv.vep | 3.4 | 0.181 |
| Tatoeba-test.multi.multi | 36.7 | 0.581 |
| Tatoeba-test.vep-est.vep.est | 3.4 | 0.251 |
| Tatoeba-test.vep-fkv.vep.fkv | 1.2 | 0.215 |
| Tatoeba-test.vep-liv.vep.liv | 3.4 | 0.179 |
### System Info:
- hf_name: fiu-fiu
- source_languages: fiu
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt
- src_alpha3: fiu
- tgt_alpha3: fiu
- short_pair: fiu-fiu
- chrF2_score: 0.581
- bleu: 36.7
- brevity_penalty: 0.981
- ref_len: 19444.0
- src_name: Finno-Ugrian languages
- tgt_name: Finno-Ugrian languages
- train_date: 2020-07-26
- src_alpha2: fiu
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: fiu-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["se", "fi", "hu", "et", "fiu"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fiu-fiu | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"se",
"fi",
"hu",
"et",
"fiu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"se",
"fi",
"hu",
"et",
"fiu"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fiu-fiu
* source group: Finno-Ugrian languages
* target group: Finno-Ugrian languages
* OPUS readme: fiu-fiu
* model: transformer
* source language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro
* target language(s): est fin fkv\_Latn hun izh krl liv\_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 2.0, chr-F: 0.252
testset: URL, BLEU: 51.0, chr-F: 0.704
testset: URL, BLEU: 1.1, chr-F: 0.211
testset: URL, BLEU: 3.1, chr-F: 0.272
testset: URL, BLEU: 55.2, chr-F: 0.722
testset: URL, BLEU: 1.6, chr-F: 0.207
testset: URL, BLEU: 42.4, chr-F: 0.663
testset: URL, BLEU: 12.9, chr-F: 0.509
testset: URL, BLEU: 4.6, chr-F: 0.292
testset: URL, BLEU: 2.4, chr-F: 0.148
testset: URL, BLEU: 15.1, chr-F: 0.427
testset: URL, BLEU: 1.2, chr-F: 0.261
testset: URL, BLEU: 1.2, chr-F: 0.233
testset: URL, BLEU: 47.8, chr-F: 0.681
testset: URL, BLEU: 24.0, chr-F: 0.615
testset: URL, BLEU: 1.8, chr-F: 0.114
testset: URL, BLEU: 13.6, chr-F: 0.407
testset: URL, BLEU: 2.7, chr-F: 0.096
testset: URL, BLEU: 1.2, chr-F: 0.164
testset: URL, BLEU: 3.4, chr-F: 0.181
testset: URL, BLEU: 36.7, chr-F: 0.581
testset: URL, BLEU: 3.4, chr-F: 0.251
testset: URL, BLEU: 1.2, chr-F: 0.215
testset: URL, BLEU: 3.4, chr-F: 0.179
### System Info:
* hf\_name: fiu-fiu
* source\_languages: fiu
* target\_languages: fiu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['se', 'fi', 'hu', 'et', 'fiu']
* src\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* tgt\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\_Latn', 'est', 'mhr', 'sma'}
* src\_multilingual: True
* tgt\_multilingual: True
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fiu
* tgt\_alpha3: fiu
* short\_pair: fiu-fiu
* chrF2\_score: 0.581
* bleu: 36.7
* brevity\_penalty: 0.981
* ref\_len: 19444.0
* src\_name: Finno-Ugrian languages
* tgt\_name: Finno-Ugrian languages
* train\_date: 2020-07-26
* src\_alpha2: fiu
* tgt\_alpha2: fiu
* prefer\_old: False
* long\_pair: fiu-fiu
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179",
"### System Info:\n\n\n* hf\\_name: fiu-fiu\n* source\\_languages: fiu\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: fiu\n* short\\_pair: fiu-fiu\n* chrF2\\_score: 0.581\n* bleu: 36.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 19444.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: fiu\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: fiu-fiu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179",
"### System Info:\n\n\n* hf\\_name: fiu-fiu\n* source\\_languages: fiu\n* target\\_languages: fiu\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['se', 'fi', 'hu', 'et', 'fiu']\n* src\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* tgt\\_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv\\_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv\\_Latn', 'est', 'mhr', 'sma'}\n* src\\_multilingual: True\n* tgt\\_multilingual: True\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fiu\n* tgt\\_alpha3: fiu\n* short\\_pair: fiu-fiu\n* chrF2\\_score: 0.581\n* bleu: 36.7\n* brevity\\_penalty: 0.981\n* ref\\_len: 19444.0\n* src\\_name: Finno-Ugrian languages\n* tgt\\_name: Finno-Ugrian languages\n* train\\_date: 2020-07-26\n* src\\_alpha2: fiu\n* tgt\\_alpha2: fiu\n* prefer\\_old: False\n* long\\_pair: fiu-fiu\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
68,
587,
572
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #se #fi #hu #et #fiu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"passage: ### fiu-fiu\n\n\n* source group: Finno-Ugrian languages\n* target group: Finno-Ugrian languages\n* OPUS readme: fiu-fiu\n* model: transformer\n* source language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* target language(s): est fin fkv\\_Latn hun izh krl liv\\_Latn vep vro\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 2.0, chr-F: 0.252\ntestset: URL, BLEU: 51.0, chr-F: 0.704\ntestset: URL, BLEU: 1.1, chr-F: 0.211\ntestset: URL, BLEU: 3.1, chr-F: 0.272\ntestset: URL, BLEU: 55.2, chr-F: 0.722\ntestset: URL, BLEU: 1.6, chr-F: 0.207\ntestset: URL, BLEU: 42.4, chr-F: 0.663\ntestset: URL, BLEU: 12.9, chr-F: 0.509\ntestset: URL, BLEU: 4.6, chr-F: 0.292\ntestset: URL, BLEU: 2.4, chr-F: 0.148\ntestset: URL, BLEU: 15.1, chr-F: 0.427\ntestset: URL, BLEU: 1.2, chr-F: 0.261\ntestset: URL, BLEU: 1.2, chr-F: 0.233\ntestset: URL, BLEU: 47.8, chr-F: 0.681\ntestset: URL, BLEU: 24.0, chr-F: 0.615\ntestset: URL, BLEU: 1.8, chr-F: 0.114\ntestset: URL, BLEU: 13.6, chr-F: 0.407\ntestset: URL, BLEU: 2.7, chr-F: 0.096\ntestset: URL, BLEU: 1.2, chr-F: 0.164\ntestset: URL, BLEU: 3.4, chr-F: 0.181\ntestset: URL, BLEU: 36.7, chr-F: 0.581\ntestset: URL, BLEU: 3.4, chr-F: 0.251\ntestset: URL, BLEU: 1.2, chr-F: 0.215\ntestset: URL, BLEU: 3.4, chr-F: 0.179"
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] |
null | null | transformers |
### opus-mt-fj-en
* source languages: fj
* target languages: en
* OPUS readme: [fj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fj.en | 31.0 | 0.471 |
| Tatoeba.fj.en | 79.7 | 0.835 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fj-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fj",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fj-en
* source languages: fj
* target languages: en
* OPUS readme: fj-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.0, chr-F: 0.471
testset: URL, BLEU: 79.7, chr-F: 0.835
| [
"### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835"
] | [
62,
121
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fj-en\n\n\n* source languages: fj\n* target languages: en\n* OPUS readme: fj-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.0, chr-F: 0.471\ntestset: URL, BLEU: 79.7, chr-F: 0.835"
] | [
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] |
null | null | transformers |
### opus-mt-fj-fr
* source languages: fj
* target languages: fr
* OPUS readme: [fj-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-fr/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fj.fr | 24.0 | 0.407 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fj-fr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fj",
"fr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fj-fr
* source languages: fj
* target languages: fr
* OPUS readme: fj-fr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.0, chr-F: 0.407
| [
"### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fj #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fj-fr\n\n\n* source languages: fj\n* target languages: fr\n* OPUS readme: fj-fr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.0, chr-F: 0.407"
] | [
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null | null | transformers |
### opus-mt-fr-af
* source languages: fr
* target languages: af
* OPUS readme: [fr-af](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-af/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-af/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.af | 36.0 | 0.546 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-af | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"af",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-af
* source languages: fr
* target languages: af
* OPUS readme: fr-af
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 36.0, chr-F: 0.546
| [
"### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.546"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.546"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #af #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-af\n\n\n* source languages: fr\n* target languages: af\n* OPUS readme: fr-af\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.0, chr-F: 0.546"
] | [
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null | null | transformers |
### fra-ara
* source group: French
* target group: Arabic
* OPUS readme: [fra-ara](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md)
* model: transformer
* source language(s): fra
* target language(s): apc ara arq arq_Latn ary arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.ara | 14.4 | 0.439 |
### System Info:
- hf_name: fra-ara
- source_languages: fra
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ar']
- src_constituents: {'fra'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-ara/opus-2020-07-03.test.txt
- src_alpha3: fra
- tgt_alpha3: ara
- short_pair: fr-ar
- chrF2_score: 0.439
- bleu: 14.4
- brevity_penalty: 1.0
- ref_len: 7956.0
- src_name: French
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: fr
- tgt_alpha2: ar
- prefer_old: False
- long_pair: fra-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "ar"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ar | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"ar"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-ara
* source group: French
* target group: Arabic
* OPUS readme: fra-ara
* model: transformer
* source language(s): fra
* target language(s): apc ara arq arq\_Latn ary arz
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 14.4, chr-F: 0.439
### System Info:
* hf\_name: fra-ara
* source\_languages: fra
* target\_languages: ara
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'ar']
* src\_constituents: {'fra'}
* tgt\_constituents: {'apc', 'ara', 'arq\_Latn', 'arq', 'afb', 'ara\_Latn', 'apc\_Latn', 'arz'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: ara
* short\_pair: fr-ar
* chrF2\_score: 0.439
* bleu: 14.4
* brevity\_penalty: 1.0
* ref\_len: 7956.0
* src\_name: French
* tgt\_name: Arabic
* train\_date: 2020-07-03
* src\_alpha2: fr
* tgt\_alpha2: ar
* prefer\_old: False
* long\_pair: fra-ara
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439",
"### System Info:\n\n\n* hf\\_name: fra-ara\n* source\\_languages: fra\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ar']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: ara\n* short\\_pair: fr-ar\n* chrF2\\_score: 0.439\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7956.0\n* src\\_name: French\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: fra-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439",
"### System Info:\n\n\n* hf\\_name: fra-ara\n* source\\_languages: fra\n* target\\_languages: ara\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ar']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'apc', 'ara', 'arq\\_Latn', 'arq', 'afb', 'ara\\_Latn', 'apc\\_Latn', 'arz'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: ara\n* short\\_pair: fr-ar\n* chrF2\\_score: 0.439\n* bleu: 14.4\n* brevity\\_penalty: 1.0\n* ref\\_len: 7956.0\n* src\\_name: French\n* tgt\\_name: Arabic\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: ar\n* prefer\\_old: False\n* long\\_pair: fra-ara\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
157,
436
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-ara\n\n\n* source group: French\n* target group: Arabic\n* OPUS readme: fra-ara\n* model: transformer\n* source language(s): fra\n* target language(s): apc ara arq arq\\_Latn ary arz\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 14.4, chr-F: 0.439"
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] |
null | null | transformers |
### opus-mt-fr-ase
* source languages: fr
* target languages: ase
* OPUS readme: [fr-ase](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ase/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ase/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ase/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ase/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ase | 38.5 | 0.545 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ase | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ase",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ase
* source languages: fr
* target languages: ase
* OPUS readme: fr-ase
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 38.5, chr-F: 0.545
| [
"### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.5, chr-F: 0.545"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.5, chr-F: 0.545"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ase #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ase\n\n\n* source languages: fr\n* target languages: ase\n* OPUS readme: fr-ase\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 38.5, chr-F: 0.545"
] | [
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] |
null | null | transformers |
### opus-mt-fr-bcl
* source languages: fr
* target languages: bcl
* OPUS readme: [fr-bcl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bcl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bcl/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bcl | 35.9 | 0.566 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-bcl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"bcl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-bcl
* source languages: fr
* target languages: bcl
* OPUS readme: fr-bcl
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 35.9, chr-F: 0.566
| [
"### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.9, chr-F: 0.566"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.9, chr-F: 0.566"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bcl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bcl\n\n\n* source languages: fr\n* target languages: bcl\n* OPUS readme: fr-bcl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.9, chr-F: 0.566"
] | [
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] |
null | null | transformers |
### opus-mt-fr-bem
* source languages: fr
* target languages: bem
* OPUS readme: [fr-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bem/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bem/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bem | 22.8 | 0.456 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-bem | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"bem",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-bem
* source languages: fr
* target languages: bem
* OPUS readme: fr-bem
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.8, chr-F: 0.456
| [
"### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bem #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bem\n\n\n* source languages: fr\n* target languages: bem\n* OPUS readme: fr-bem\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.8, chr-F: 0.456"
] | [
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null | null | transformers |
### opus-mt-fr-ber
* source languages: fr
* target languages: ber
* OPUS readme: [fr-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ber/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ber | 37.2 | 0.641 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ber | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ber",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ber
* source languages: fr
* target languages: ber
* OPUS readme: fr-ber
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 37.2, chr-F: 0.641
| [
"### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ber #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ber\n\n\n* source languages: fr\n* target languages: ber\n* OPUS readme: fr-ber\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.641"
] | [
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null | null | transformers |
### fra-bul
* source group: French
* target group: Bulgarian
* OPUS readme: [fra-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md)
* model: transformer
* source language(s): fra
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.bul | 46.3 | 0.657 |
### System Info:
- hf_name: fra-bul
- source_languages: fra
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'bg']
- src_constituents: {'fra'}
- tgt_constituents: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt
- src_alpha3: fra
- tgt_alpha3: bul
- short_pair: fr-bg
- chrF2_score: 0.657
- bleu: 46.3
- brevity_penalty: 0.953
- ref_len: 3286.0
- src_name: French
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: fr
- tgt_alpha2: bg
- prefer_old: False
- long_pair: fra-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "bg"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-bg | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"bg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"bg"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-bul
* source group: French
* target group: Bulgarian
* OPUS readme: fra-bul
* model: transformer
* source language(s): fra
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 46.3, chr-F: 0.657
### System Info:
* hf\_name: fra-bul
* source\_languages: fra
* target\_languages: bul
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'bg']
* src\_constituents: {'fra'}
* tgt\_constituents: {'bul', 'bul\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: bul
* short\_pair: fr-bg
* chrF2\_score: 0.657
* bleu: 46.3
* brevity\_penalty: 0.953
* ref\_len: 3286.0
* src\_name: French
* tgt\_name: Bulgarian
* train\_date: 2020-07-03
* src\_alpha2: fr
* tgt\_alpha2: bg
* prefer\_old: False
* long\_pair: fra-bul
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.3, chr-F: 0.657",
"### System Info:\n\n\n* hf\\_name: fra-bul\n* source\\_languages: fra\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'bg']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: bul\n* short\\_pair: fr-bg\n* chrF2\\_score: 0.657\n* bleu: 46.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3286.0\n* src\\_name: French\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: fra-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.3, chr-F: 0.657",
"### System Info:\n\n\n* hf\\_name: fra-bul\n* source\\_languages: fra\n* target\\_languages: bul\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'bg']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'bul', 'bul\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: bul\n* short\\_pair: fr-bg\n* chrF2\\_score: 0.657\n* bleu: 46.3\n* brevity\\_penalty: 0.953\n* ref\\_len: 3286.0\n* src\\_name: French\n* tgt\\_name: Bulgarian\n* train\\_date: 2020-07-03\n* src\\_alpha2: fr\n* tgt\\_alpha2: bg\n* prefer\\_old: False\n* long\\_pair: fra-bul\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
117,
400
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-bul\n\n\n* source group: French\n* target group: Bulgarian\n* OPUS readme: fra-bul\n* model: transformer\n* source language(s): fra\n* target language(s): bul\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 46.3, chr-F: 0.657"
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] |
null | null | transformers |
### opus-mt-fr-bi
* source languages: fr
* target languages: bi
* OPUS readme: [fr-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bi | 28.4 | 0.464 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-bi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"bi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-bi
* source languages: fr
* target languages: bi
* OPUS readme: fr-bi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.4, chr-F: 0.464
| [
"### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bi\n\n\n* source languages: fr\n* target languages: bi\n* OPUS readme: fr-bi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.4, chr-F: 0.464"
] | [
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] |
null | null | transformers |
### opus-mt-fr-bzs
* source languages: fr
* target languages: bzs
* OPUS readme: [fr-bzs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-bzs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-bzs/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.bzs | 30.2 | 0.477 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-bzs | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"bzs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-bzs
* source languages: fr
* target languages: bzs
* OPUS readme: fr-bzs
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.2, chr-F: 0.477
| [
"### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-bzs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.2, chr-F: 0.477"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-bzs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.2, chr-F: 0.477"
] | [
63,
107
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #bzs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-bzs\n\n\n* source languages: fr\n* target languages: bzs\n* OPUS readme: fr-bzs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.2, chr-F: 0.477"
] | [
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null | null | transformers |
### fra-cat
* source group: French
* target group: Catalan
* OPUS readme: [fra-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.cat | 43.4 | 0.645 |
### System Info:
- hf_name: fra-cat
- source_languages: fra
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ca']
- src_constituents: {'fra'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-cat/opus-2020-06-16.test.txt
- src_alpha3: fra
- tgt_alpha3: cat
- short_pair: fr-ca
- chrF2_score: 0.645
- bleu: 43.4
- brevity_penalty: 0.982
- ref_len: 5214.0
- src_name: French
- tgt_name: Catalan
- train_date: 2020-06-16
- src_alpha2: fr
- tgt_alpha2: ca
- prefer_old: False
- long_pair: fra-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "ca"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ca | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ca",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"ca"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-cat
* source group: French
* target group: Catalan
* OPUS readme: fra-cat
* model: transformer-align
* source language(s): fra
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 43.4, chr-F: 0.645
### System Info:
* hf\_name: fra-cat
* source\_languages: fra
* target\_languages: cat
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'ca']
* src\_constituents: {'fra'}
* tgt\_constituents: {'cat'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: cat
* short\_pair: fr-ca
* chrF2\_score: 0.645
* bleu: 43.4
* brevity\_penalty: 0.982
* ref\_len: 5214.0
* src\_name: French
* tgt\_name: Catalan
* train\_date: 2020-06-16
* src\_alpha2: fr
* tgt\_alpha2: ca
* prefer\_old: False
* long\_pair: fra-cat
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.4, chr-F: 0.645",
"### System Info:\n\n\n* hf\\_name: fra-cat\n* source\\_languages: fra\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ca']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: cat\n* short\\_pair: fr-ca\n* chrF2\\_score: 0.645\n* bleu: 43.4\n* brevity\\_penalty: 0.982\n* ref\\_len: 5214.0\n* src\\_name: French\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: fr\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: fra-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.4, chr-F: 0.645",
"### System Info:\n\n\n* hf\\_name: fra-cat\n* source\\_languages: fra\n* target\\_languages: cat\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ca']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'cat'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm12k,spm12k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: cat\n* short\\_pair: fr-ca\n* chrF2\\_score: 0.645\n* bleu: 43.4\n* brevity\\_penalty: 0.982\n* ref\\_len: 5214.0\n* src\\_name: French\n* tgt\\_name: Catalan\n* train\\_date: 2020-06-16\n* src\\_alpha2: fr\n* tgt\\_alpha2: ca\n* prefer\\_old: False\n* long\\_pair: fra-cat\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
120,
388
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ca #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-cat\n\n\n* source group: French\n* target group: Catalan\n* OPUS readme: fra-cat\n* model: transformer-align\n* source language(s): fra\n* target language(s): cat\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm12k,spm12k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 43.4, chr-F: 0.645"
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] |
null | null | transformers |
### opus-mt-fr-ceb
* source languages: fr
* target languages: ceb
* OPUS readme: [fr-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ceb/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ceb/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ceb | 32.8 | 0.543 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ceb | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ceb",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ceb
* source languages: fr
* target languages: ceb
* OPUS readme: fr-ceb
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 32.8, chr-F: 0.543
| [
"### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ceb #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ceb\n\n\n* source languages: fr\n* target languages: ceb\n* OPUS readme: fr-ceb\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.8, chr-F: 0.543"
] | [
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null | null | transformers |
### opus-mt-fr-crs
* source languages: fr
* target languages: crs
* OPUS readme: [fr-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-crs/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.crs | 31.6 | 0.492 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-crs | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"crs",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-crs
* source languages: fr
* target languages: crs
* OPUS readme: fr-crs
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.6, chr-F: 0.492
| [
"### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-crs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.492"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-crs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.492"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #crs #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-crs\n\n\n* source languages: fr\n* target languages: crs\n* OPUS readme: fr-crs\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.6, chr-F: 0.492"
] | [
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null | null | transformers |
### opus-mt-fr-de
* source languages: fr
* target languages: de
* OPUS readme: [fr-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-de/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.fr | 26.4 | 0.571 |
| newssyscomb2009.fr.de | 22.1 | 0.524 |
| news-test2008.fr.de | 22.1 | 0.524 |
| newstest2009.fr.de | 21.6 | 0.520 |
| newstest2010.fr.de | 22.6 | 0.527 |
| newstest2011.fr.de | 21.5 | 0.518 |
| newstest2012.fr.de | 22.4 | 0.516 |
| newstest2013.fr.de | 24.2 | 0.532 |
| newstest2019-frde.fr.de | 27.9 | 0.595 |
| Tatoeba.fr.de | 49.1 | 0.676 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-de | [
"transformers",
"pytorch",
"tf",
"rust",
"marian",
"text2text-generation",
"translation",
"fr",
"de",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-de
* source languages: fr
* target languages: de
* OPUS readme: fr-de
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: euelections\_dev2019.URL, BLEU: 26.4, chr-F: 0.571
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 22.1, chr-F: 0.524
testset: URL, BLEU: 21.6, chr-F: 0.520
testset: URL, BLEU: 22.6, chr-F: 0.527
testset: URL, BLEU: 21.5, chr-F: 0.518
testset: URL, BLEU: 22.4, chr-F: 0.516
testset: URL, BLEU: 24.2, chr-F: 0.532
testset: URL, BLEU: 27.9, chr-F: 0.595
testset: URL, BLEU: 49.1, chr-F: 0.676
| [
"### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676"
] | [
"TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676"
] | [
63,
262
] | [
"passage: TAGS\n#transformers #pytorch #tf #rust #marian #text2text-generation #translation #fr #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-de\n\n\n* source languages: fr\n* target languages: de\n* OPUS readme: fr-de\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: euelections\\_dev2019.URL, BLEU: 26.4, chr-F: 0.571\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 22.1, chr-F: 0.524\ntestset: URL, BLEU: 21.6, chr-F: 0.520\ntestset: URL, BLEU: 22.6, chr-F: 0.527\ntestset: URL, BLEU: 21.5, chr-F: 0.518\ntestset: URL, BLEU: 22.4, chr-F: 0.516\ntestset: URL, BLEU: 24.2, chr-F: 0.532\ntestset: URL, BLEU: 27.9, chr-F: 0.595\ntestset: URL, BLEU: 49.1, chr-F: 0.676"
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] |
null | null | transformers |
### opus-mt-fr-ee
* source languages: fr
* target languages: ee
* OPUS readme: [fr-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ee | 26.3 | 0.466 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ee | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ee",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ee
* source languages: fr
* target languages: ee
* OPUS readme: fr-ee
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.3, chr-F: 0.466
| [
"### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.466"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.466"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ee #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ee\n\n\n* source languages: fr\n* target languages: ee\n* OPUS readme: fr-ee\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.466"
] | [
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] |
null | null | transformers |
### opus-mt-fr-efi
* source languages: fr
* target languages: efi
* OPUS readme: [fr-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-efi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.efi | 26.9 | 0.462 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-efi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"efi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-efi
* source languages: fr
* target languages: efi
* OPUS readme: fr-efi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.9, chr-F: 0.462
| [
"### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.462"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.462"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #efi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-efi\n\n\n* source languages: fr\n* target languages: efi\n* OPUS readme: fr-efi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.9, chr-F: 0.462"
] | [
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] |
null | null | transformers |
### opus-mt-fr-el
* source languages: fr
* target languages: el
* OPUS readme: [fr-el](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-el/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-el/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.el | 56.2 | 0.719 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-el | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"el",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-el
* source languages: fr
* target languages: el
* OPUS readme: fr-el
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 56.2, chr-F: 0.719
| [
"### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.2, chr-F: 0.719"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.2, chr-F: 0.719"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #el #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-el\n\n\n* source languages: fr\n* target languages: el\n* OPUS readme: fr-el\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 56.2, chr-F: 0.719"
] | [
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null | null | transformers |
### opus-mt-fr-en
* source languages: fr
* target languages: en
* OPUS readme: [fr-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newsdiscussdev2015-enfr.fr.en | 33.1 | 0.580 |
| newsdiscusstest2015-enfr.fr.en | 38.7 | 0.614 |
| newssyscomb2009.fr.en | 30.3 | 0.569 |
| news-test2008.fr.en | 26.2 | 0.542 |
| newstest2009.fr.en | 30.2 | 0.570 |
| newstest2010.fr.en | 32.2 | 0.590 |
| newstest2011.fr.en | 33.0 | 0.597 |
| newstest2012.fr.en | 32.8 | 0.591 |
| newstest2013.fr.en | 33.9 | 0.591 |
| newstest2014-fren.fr.en | 37.8 | 0.633 |
| Tatoeba.fr.en | 57.5 | 0.720 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-en | [
"transformers",
"pytorch",
"tf",
"jax",
"marian",
"text2text-generation",
"translation",
"fr",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-en
* source languages: fr
* target languages: en
* OPUS readme: fr-en
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 33.1, chr-F: 0.580
testset: URL, BLEU: 38.7, chr-F: 0.614
testset: URL, BLEU: 30.3, chr-F: 0.569
testset: URL, BLEU: 26.2, chr-F: 0.542
testset: URL, BLEU: 30.2, chr-F: 0.570
testset: URL, BLEU: 32.2, chr-F: 0.590
testset: URL, BLEU: 33.0, chr-F: 0.597
testset: URL, BLEU: 32.8, chr-F: 0.591
testset: URL, BLEU: 33.9, chr-F: 0.591
testset: URL, BLEU: 37.8, chr-F: 0.633
testset: URL, BLEU: 57.5, chr-F: 0.720
| [
"### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720"
] | [
"TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720"
] | [
64,
274
] | [
"passage: TAGS\n#transformers #pytorch #tf #jax #marian #text2text-generation #translation #fr #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-en\n\n\n* source languages: fr\n* target languages: en\n* OPUS readme: fr-en\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.580\ntestset: URL, BLEU: 38.7, chr-F: 0.614\ntestset: URL, BLEU: 30.3, chr-F: 0.569\ntestset: URL, BLEU: 26.2, chr-F: 0.542\ntestset: URL, BLEU: 30.2, chr-F: 0.570\ntestset: URL, BLEU: 32.2, chr-F: 0.590\ntestset: URL, BLEU: 33.0, chr-F: 0.597\ntestset: URL, BLEU: 32.8, chr-F: 0.591\ntestset: URL, BLEU: 33.9, chr-F: 0.591\ntestset: URL, BLEU: 37.8, chr-F: 0.633\ntestset: URL, BLEU: 57.5, chr-F: 0.720"
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] |
null | null | transformers |
### opus-mt-fr-eo
* source languages: fr
* target languages: eo
* OPUS readme: [fr-eo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-eo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-eo/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.eo | 52.0 | 0.695 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-eo | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"eo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-eo
* source languages: fr
* target languages: eo
* OPUS readme: fr-eo
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 52.0, chr-F: 0.695
| [
"### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.695"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.695"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #eo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-eo\n\n\n* source languages: fr\n* target languages: eo\n* OPUS readme: fr-eo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 52.0, chr-F: 0.695"
] | [
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] |
null | null | transformers |
### opus-mt-fr-es
* source languages: fr
* target languages: es
* OPUS readme: [fr-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-es/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.fr.es | 34.3 | 0.601 |
| news-test2008.fr.es | 32.5 | 0.583 |
| newstest2009.fr.es | 31.6 | 0.586 |
| newstest2010.fr.es | 36.5 | 0.616 |
| newstest2011.fr.es | 38.3 | 0.622 |
| newstest2012.fr.es | 38.1 | 0.619 |
| newstest2013.fr.es | 34.0 | 0.587 |
| Tatoeba.fr.es | 53.2 | 0.709 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-es | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-es
* source languages: fr
* target languages: es
* OPUS readme: fr-es
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 34.3, chr-F: 0.601
testset: URL, BLEU: 32.5, chr-F: 0.583
testset: URL, BLEU: 31.6, chr-F: 0.586
testset: URL, BLEU: 36.5, chr-F: 0.616
testset: URL, BLEU: 38.3, chr-F: 0.622
testset: URL, BLEU: 38.1, chr-F: 0.619
testset: URL, BLEU: 34.0, chr-F: 0.587
testset: URL, BLEU: 53.2, chr-F: 0.709
| [
"### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-es\n\n\n* source languages: fr\n* target languages: es\n* OPUS readme: fr-es\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.3, chr-F: 0.601\ntestset: URL, BLEU: 32.5, chr-F: 0.583\ntestset: URL, BLEU: 31.6, chr-F: 0.586\ntestset: URL, BLEU: 36.5, chr-F: 0.616\ntestset: URL, BLEU: 38.3, chr-F: 0.622\ntestset: URL, BLEU: 38.1, chr-F: 0.619\ntestset: URL, BLEU: 34.0, chr-F: 0.587\ntestset: URL, BLEU: 53.2, chr-F: 0.709"
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] |
null | null | transformers |
### opus-mt-fr-fj
* source languages: fr
* target languages: fj
* OPUS readme: [fr-fj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-fj/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-fj/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.fj | 27.4 | 0.487 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-fj | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"fj",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-fj
* source languages: fr
* target languages: fj
* OPUS readme: fr-fj
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.4, chr-F: 0.487
| [
"### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.487"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.487"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #fj #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-fj\n\n\n* source languages: fr\n* target languages: fj\n* OPUS readme: fr-fj\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.487"
] | [
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null | null | transformers |
### opus-mt-fr-gaa
* source languages: fr
* target languages: gaa
* OPUS readme: [fr-gaa](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gaa/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gaa/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gaa | 27.8 | 0.473 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-gaa | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"gaa",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-gaa
* source languages: fr
* target languages: gaa
* OPUS readme: fr-gaa
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.8, chr-F: 0.473
| [
"### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.473"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.473"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gaa #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-gaa\n\n\n* source languages: fr\n* target languages: gaa\n* OPUS readme: fr-gaa\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.473"
] | [
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] |
null | null | transformers |
### opus-mt-fr-gil
* source languages: fr
* target languages: gil
* OPUS readme: [fr-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-gil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-gil/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gil | 27.9 | 0.499 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-gil | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"gil",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-gil
* source languages: fr
* target languages: gil
* OPUS readme: fr-gil
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.9, chr-F: 0.499
| [
"### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-gil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.499"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-gil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.499"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #gil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-gil\n\n\n* source languages: fr\n* target languages: gil\n* OPUS readme: fr-gil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.499"
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null | null | transformers |
### opus-mt-fr-guw
* source languages: fr
* target languages: guw
* OPUS readme: [fr-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-guw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-guw/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.guw | 31.4 | 0.505 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-guw | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"guw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-guw
* source languages: fr
* target languages: guw
* OPUS readme: fr-guw
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.4, chr-F: 0.505
| [
"### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-guw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.505"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-guw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.505"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #guw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-guw\n\n\n* source languages: fr\n* target languages: guw\n* OPUS readme: fr-guw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.505"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ha
* source languages: fr
* target languages: ha
* OPUS readme: [fr-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ha/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ha/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ha | 24.4 | 0.447 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ha | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ha",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ha
* source languages: fr
* target languages: ha
* OPUS readme: fr-ha
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.4, chr-F: 0.447
| [
"### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.447"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.447"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ha #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ha\n\n\n* source languages: fr\n* target languages: ha\n* OPUS readme: fr-ha\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.4, chr-F: 0.447"
] | [
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null | null | transformers | ### fr-he
* source group: French
* target group: Hebrew
* OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md)
* model: transformer
* source language(s): fra
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.heb | 39.2 | 0.598 |
### System Info:
- hf_name: fr-he
- source_languages: fra
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'he']
- src_constituents: ('French', {'fra'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fra-heb
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt
- src_alpha3: fra
- tgt_alpha3: heb
- chrF2_score: 0.598
- bleu: 39.2
- brevity_penalty: 1.0
- ref_len: 20655.0
- src_name: French
- tgt_name: Hebrew
- train_date: 2020-12-10 00:00:00
- src_alpha2: fr
- tgt_alpha2: he
- prefer_old: False
- short_pair: fr-he
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-16:02 | {"language": ["fr", "he"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-he | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"he",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"he"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fr-he
* source group: French
* target group: Hebrew
* OPUS readme: fra-heb
* model: transformer
* source language(s): fra
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 39.2, chr-F: 0.598
### System Info:
* hf\_name: fr-he
* source\_languages: fra
* target\_languages: heb
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'he']
* src\_constituents: ('French', {'fra'})
* tgt\_constituents: ('Hebrew', {'heb'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: fra-heb
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: heb
* chrF2\_score: 0.598
* bleu: 39.2
* brevity\_penalty: 1.0
* ref\_len: 20655.0
* src\_name: French
* tgt\_name: Hebrew
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: fr
* tgt\_alpha2: he
* prefer\_old: False
* short\_pair: fr-he
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:02
| [
"### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.2, chr-F: 0.598",
"### System Info:\n\n\n* hf\\_name: fr-he\n* source\\_languages: fra\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'he']\n* src\\_constituents: ('French', {'fra'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: fra-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.598\n* bleu: 39.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 20655.0\n* src\\_name: French\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: fr\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: fr-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-16:02"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.2, chr-F: 0.598",
"### System Info:\n\n\n* hf\\_name: fr-he\n* source\\_languages: fra\n* target\\_languages: heb\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'he']\n* src\\_constituents: ('French', {'fra'})\n* tgt\\_constituents: ('Hebrew', {'heb'})\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* long\\_pair: fra-heb\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: heb\n* chrF2\\_score: 0.598\n* bleu: 39.2\n* brevity\\_penalty: 1.0\n* ref\\_len: 20655.0\n* src\\_name: French\n* tgt\\_name: Hebrew\n* train\\_date: 2020-12-10 00:00:00\n* src\\_alpha2: fr\n* tgt\\_alpha2: he\n* prefer\\_old: False\n* short\\_pair: fr-he\n* helsinki\\_git\\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96\n* transformers\\_git\\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de\n* port\\_machine: URL\n* port\\_time: 2020-12-11-16:02"
] | [
61,
116,
400
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #he #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fr-he\n\n\n* source group: French\n* target group: Hebrew\n* OPUS readme: fra-heb\n* model: transformer\n* source language(s): fra\n* target language(s): heb\n* model: transformer\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.2, chr-F: 0.598"
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] |
null | null | transformers |
### opus-mt-fr-hil
* source languages: fr
* target languages: hil
* OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hil | 34.7 | 0.559 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-hil | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"hil",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-hil
* source languages: fr
* target languages: hil
* OPUS readme: fr-hil
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 34.7, chr-F: 0.559
| [
"### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.559"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.559"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hil #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hil\n\n\n* source languages: fr\n* target languages: hil\n* OPUS readme: fr-hil\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.7, chr-F: 0.559"
] | [
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null | null | transformers |
### opus-mt-fr-ho
* source languages: fr
* target languages: ho
* OPUS readme: [fr-ho](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ho/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ho/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ho | 25.4 | 0.480 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ho | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ho",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ho
* source languages: fr
* target languages: ho
* OPUS readme: fr-ho
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.4, chr-F: 0.480
| [
"### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.480"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.480"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ho #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ho\n\n\n* source languages: fr\n* target languages: ho\n* OPUS readme: fr-ho\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.4, chr-F: 0.480"
] | [
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] |
null | null | transformers |
### opus-mt-fr-hr
* source languages: fr
* target languages: hr
* OPUS readme: [fr-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hr/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hr | 20.7 | 0.442 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-hr | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"hr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-hr
* source languages: fr
* target languages: hr
* OPUS readme: fr-hr
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 20.7, chr-F: 0.442
| [
"### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.442"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.442"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hr\n\n\n* source languages: fr\n* target languages: hr\n* OPUS readme: fr-hr\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.7, chr-F: 0.442"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ht
* source languages: fr
* target languages: ht
* OPUS readme: [fr-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ht/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ht/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ht | 29.2 | 0.461 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ht | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ht",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ht
* source languages: fr
* target languages: ht
* OPUS readme: fr-ht
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.2, chr-F: 0.461
| [
"### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.2, chr-F: 0.461"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.2, chr-F: 0.461"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ht #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ht\n\n\n* source languages: fr\n* target languages: ht\n* OPUS readme: fr-ht\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.2, chr-F: 0.461"
] | [
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] |
null | null | transformers |
### opus-mt-fr-hu
* source languages: fr
* target languages: hu
* OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.hu | 41.3 | 0.629 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-hu | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"hu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-hu
* source languages: fr
* target languages: hu
* OPUS readme: fr-hu
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 41.3, chr-F: 0.629
| [
"### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.629"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.629"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #hu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-hu\n\n\n* source languages: fr\n* target languages: hu\n* OPUS readme: fr-hu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 41.3, chr-F: 0.629"
] | [
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] |
null | null | transformers |
### opus-mt-fr-id
* source languages: fr
* target languages: id
* OPUS readme: [fr-id](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-id/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-id/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.id | 37.2 | 0.636 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-id | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"id",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-id
* source languages: fr
* target languages: id
* OPUS readme: fr-id
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 37.2, chr-F: 0.636
| [
"### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #id #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-id\n\n\n* source languages: fr\n* target languages: id\n* OPUS readme: fr-id\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.2, chr-F: 0.636"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ig
* source languages: fr
* target languages: ig
* OPUS readme: [fr-ig](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ig/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ig/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ig | 29.0 | 0.445 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ig | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ig",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ig
* source languages: fr
* target languages: ig
* OPUS readme: fr-ig
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.0, chr-F: 0.445
| [
"### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.445"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.445"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ig #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ig\n\n\n* source languages: fr\n* target languages: ig\n* OPUS readme: fr-ig\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.445"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ilo
* source languages: fr
* target languages: ilo
* OPUS readme: [fr-ilo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ilo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ilo/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ilo | 30.6 | 0.528 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ilo | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ilo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ilo
* source languages: fr
* target languages: ilo
* OPUS readme: fr-ilo
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.6, chr-F: 0.528
| [
"### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.6, chr-F: 0.528"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.6, chr-F: 0.528"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ilo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ilo\n\n\n* source languages: fr\n* target languages: ilo\n* OPUS readme: fr-ilo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.6, chr-F: 0.528"
] | [
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] |
null | null | transformers |
### opus-mt-fr-iso
* source languages: fr
* target languages: iso
* OPUS readme: [fr-iso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-iso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-iso/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.iso | 26.7 | 0.429 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-iso | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"iso",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-iso
* source languages: fr
* target languages: iso
* OPUS readme: fr-iso
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.7, chr-F: 0.429
| [
"### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-iso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.429"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-iso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.429"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #iso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-iso\n\n\n* source languages: fr\n* target languages: iso\n* OPUS readme: fr-iso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.7, chr-F: 0.429"
] | [
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] |
null | null | transformers |
### opus-mt-fr-kg
* source languages: fr
* target languages: kg
* OPUS readme: [fr-kg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kg/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kg | 30.4 | 0.523 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-kg | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"kg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-kg
* source languages: fr
* target languages: kg
* OPUS readme: fr-kg
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.4, chr-F: 0.523
| [
"### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.523"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.523"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kg\n\n\n* source languages: fr\n* target languages: kg\n* OPUS readme: fr-kg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.4, chr-F: 0.523"
] | [
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] |
null | null | transformers |
### opus-mt-fr-kqn
* source languages: fr
* target languages: kqn
* OPUS readme: [fr-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kqn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kqn/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kqn | 23.3 | 0.469 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-kqn | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"kqn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-kqn
* source languages: fr
* target languages: kqn
* OPUS readme: fr-kqn
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.3, chr-F: 0.469
| [
"### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kqn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kqn\n\n\n* source languages: fr\n* target languages: kqn\n* OPUS readme: fr-kqn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.3, chr-F: 0.469"
] | [
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] |
null | null | transformers |
### opus-mt-fr-kwy
* source languages: fr
* target languages: kwy
* OPUS readme: [fr-kwy](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-kwy/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-kwy/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.kwy | 22.5 | 0.428 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-kwy | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"kwy",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-kwy
* source languages: fr
* target languages: kwy
* OPUS readme: fr-kwy
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 22.5, chr-F: 0.428
| [
"### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #kwy #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-kwy\n\n\n* source languages: fr\n* target languages: kwy\n* OPUS readme: fr-kwy\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 22.5, chr-F: 0.428"
] | [
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] |
null | null | transformers |
### opus-mt-fr-lg
* source languages: fr
* target languages: lg
* OPUS readme: [fr-lg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lg/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lg | 21.7 | 0.454 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-lg | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"lg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-lg
* source languages: fr
* target languages: lg
* OPUS readme: fr-lg
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.7, chr-F: 0.454
| [
"### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lg\n\n\n* source languages: fr\n* target languages: lg\n* OPUS readme: fr-lg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.454"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ln
* source languages: fr
* target languages: ln
* OPUS readme: [fr-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ln/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ln/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ln | 30.5 | 0.527 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ln | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ln",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ln
* source languages: fr
* target languages: ln
* OPUS readme: fr-ln
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.5, chr-F: 0.527
| [
"### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.527"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.527"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ln #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ln\n\n\n* source languages: fr\n* target languages: ln\n* OPUS readme: fr-ln\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.5, chr-F: 0.527"
] | [
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] |
null | null | transformers |
### opus-mt-fr-loz
* source languages: fr
* target languages: loz
* OPUS readme: [fr-loz](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-loz/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-loz/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.loz | 30.0 | 0.498 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-loz | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"loz",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-loz
* source languages: fr
* target languages: loz
* OPUS readme: fr-loz
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.0, chr-F: 0.498
| [
"### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.498"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.498"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #loz #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-loz\n\n\n* source languages: fr\n* target languages: loz\n* OPUS readme: fr-loz\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.498"
] | [
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] |
null | null | transformers |
### opus-mt-fr-lu
* source languages: fr
* target languages: lu
* OPUS readme: [fr-lu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lu/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lu | 25.5 | 0.471 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-lu | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"lu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-lu
* source languages: fr
* target languages: lu
* OPUS readme: fr-lu
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.5, chr-F: 0.471
| [
"### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.471"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.471"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lu\n\n\n* source languages: fr\n* target languages: lu\n* OPUS readme: fr-lu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.471"
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] |
null | null | transformers |
### opus-mt-fr-lua
* source languages: fr
* target languages: lua
* OPUS readme: [fr-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lua | 27.3 | 0.496 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-lua | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"lua",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-lua
* source languages: fr
* target languages: lua
* OPUS readme: fr-lua
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.3, chr-F: 0.496
| [
"### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.3, chr-F: 0.496"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.3, chr-F: 0.496"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lua #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lua\n\n\n* source languages: fr\n* target languages: lua\n* OPUS readme: fr-lua\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.3, chr-F: 0.496"
] | [
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null | null | transformers |
### opus-mt-fr-lue
* source languages: fr
* target languages: lue
* OPUS readme: [fr-lue](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lue/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lue/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lue | 23.1 | 0.485 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-lue | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"lue",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-lue
* source languages: fr
* target languages: lue
* OPUS readme: fr-lue
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.1, chr-F: 0.485
| [
"### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.485"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.485"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lue #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lue\n\n\n* source languages: fr\n* target languages: lue\n* OPUS readme: fr-lue\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.1, chr-F: 0.485"
] | [
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] |
null | null | transformers |
### opus-mt-fr-lus
* source languages: fr
* target languages: lus
* OPUS readme: [fr-lus](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lus/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lus/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lus | 25.5 | 0.455 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-lus | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"lus",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-lus
* source languages: fr
* target languages: lus
* OPUS readme: fr-lus
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.5, chr-F: 0.455
| [
"### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.455"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.455"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #lus #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-lus\n\n\n* source languages: fr\n* target languages: lus\n* OPUS readme: fr-lus\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.455"
] | [
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] |
null | null | transformers |
### opus-mt-fr-mfe
* source languages: fr
* target languages: mfe
* OPUS readme: [fr-mfe](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mfe/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mfe/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mfe | 26.1 | 0.451 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-mfe | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"mfe",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-mfe
* source languages: fr
* target languages: mfe
* OPUS readme: fr-mfe
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.1, chr-F: 0.451
| [
"### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.451"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.451"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mfe #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mfe\n\n\n* source languages: fr\n* target languages: mfe\n* OPUS readme: fr-mfe\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.1, chr-F: 0.451"
] | [
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null | null | transformers |
### opus-mt-fr-mh
* source languages: fr
* target languages: mh
* OPUS readme: [fr-mh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mh/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mh | 21.7 | 0.399 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-mh | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"mh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-mh
* source languages: fr
* target languages: mh
* OPUS readme: fr-mh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.7, chr-F: 0.399
| [
"### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mh\n\n\n* source languages: fr\n* target languages: mh\n* OPUS readme: fr-mh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.7, chr-F: 0.399"
] | [
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] |
null | null | transformers |
### opus-mt-fr-mos
* source languages: fr
* target languages: mos
* OPUS readme: [fr-mos](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mos/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mos/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mos | 21.1 | 0.353 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-mos | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"mos",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-mos
* source languages: fr
* target languages: mos
* OPUS readme: fr-mos
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.1, chr-F: 0.353
| [
"### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mos #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mos\n\n\n* source languages: fr\n* target languages: mos\n* OPUS readme: fr-mos\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.1, chr-F: 0.353"
] | [
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null | null | transformers |
### fra-msa
* source group: French
* target group: Malay (macrolanguage)
* OPUS readme: [fra-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): ind zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.msa | 35.3 | 0.617 |
### System Info:
- hf_name: fra-msa
- source_languages: fra
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'ms']
- src_constituents: {'fra'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-msa/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: msa
- short_pair: fr-ms
- chrF2_score: 0.617
- bleu: 35.3
- brevity_penalty: 0.978
- ref_len: 6696.0
- src_name: French
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: ms
- prefer_old: False
- long_pair: fra-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "ms"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ms | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ms",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"ms"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-msa
* source group: French
* target group: Malay (macrolanguage)
* OPUS readme: fra-msa
* model: transformer-align
* source language(s): fra
* target language(s): ind zsm\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 35.3, chr-F: 0.617
### System Info:
* hf\_name: fra-msa
* source\_languages: fra
* target\_languages: msa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'ms']
* src\_constituents: {'fra'}
* tgt\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: msa
* short\_pair: fr-ms
* chrF2\_score: 0.617
* bleu: 35.3
* brevity\_penalty: 0.978
* ref\_len: 6696.0
* src\_name: French
* tgt\_name: Malay (macrolanguage)
* train\_date: 2020-06-17
* src\_alpha2: fr
* tgt\_alpha2: ms
* prefer\_old: False
* long\_pair: fra-msa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.617",
"### System Info:\n\n\n* hf\\_name: fra-msa\n* source\\_languages: fra\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ms']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: msa\n* short\\_pair: fr-ms\n* chrF2\\_score: 0.617\n* bleu: 35.3\n* brevity\\_penalty: 0.978\n* ref\\_len: 6696.0\n* src\\_name: French\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: fra-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.617",
"### System Info:\n\n\n* hf\\_name: fra-msa\n* source\\_languages: fra\n* target\\_languages: msa\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'ms']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'zsm\\_Latn', 'ind', 'max\\_Latn', 'zlm\\_Latn', 'min'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: msa\n* short\\_pair: fr-ms\n* chrF2\\_score: 0.617\n* bleu: 35.3\n* brevity\\_penalty: 0.978\n* ref\\_len: 6696.0\n* src\\_name: French\n* tgt\\_name: Malay (macrolanguage)\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: ms\n* prefer\\_old: False\n* long\\_pair: fra-msa\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
164,
434
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ms #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-msa\n\n\n* source group: French\n* target group: Malay (macrolanguage)\n* OPUS readme: fra-msa\n* model: transformer-align\n* source language(s): fra\n* target language(s): ind zsm\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 35.3, chr-F: 0.617"
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] |
null | null | transformers |
### opus-mt-fr-mt
* source languages: fr
* target languages: mt
* OPUS readme: [fr-mt](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-mt/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-mt/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mt | 28.7 | 0.466 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-mt | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"mt",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-mt
* source languages: fr
* target languages: mt
* OPUS readme: fr-mt
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.7, chr-F: 0.466
| [
"### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.7, chr-F: 0.466"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.7, chr-F: 0.466"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #mt #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-mt\n\n\n* source languages: fr\n* target languages: mt\n* OPUS readme: fr-mt\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.7, chr-F: 0.466"
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] |
null | null | transformers |
### opus-mt-fr-niu
* source languages: fr
* target languages: niu
* OPUS readme: [fr-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-niu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-niu/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.niu | 34.5 | 0.537 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-niu | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"niu",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-niu
* source languages: fr
* target languages: niu
* OPUS readme: fr-niu
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 34.5, chr-F: 0.537
| [
"### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.537"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.537"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #niu #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-niu\n\n\n* source languages: fr\n* target languages: niu\n* OPUS readme: fr-niu\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.5, chr-F: 0.537"
] | [
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null | null | transformers |
### fra-nor
* source group: French
* target group: Norwegian
* OPUS readme: [fra-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.nor | 36.1 | 0.555 |
### System Info:
- hf_name: fra-nor
- source_languages: fra
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'no']
- src_constituents: {'fra'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-nor/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: nor
- short_pair: fr-no
- chrF2_score: 0.555
- bleu: 36.1
- brevity_penalty: 0.981
- ref_len: 3089.0
- src_name: French
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: no
- prefer_old: False
- long_pair: fra-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", false], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-no | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"no",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"no"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-nor
* source group: French
* target group: Norwegian
* OPUS readme: fra-nor
* model: transformer-align
* source language(s): fra
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 36.1, chr-F: 0.555
### System Info:
* hf\_name: fra-nor
* source\_languages: fra
* target\_languages: nor
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'no']
* src\_constituents: {'fra'}
* tgt\_constituents: {'nob', 'nno'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: nor
* short\_pair: fr-no
* chrF2\_score: 0.555
* bleu: 36.1
* brevity\_penalty: 0.981
* ref\_len: 3089.0
* src\_name: French
* tgt\_name: Norwegian
* train\_date: 2020-06-17
* src\_alpha2: fr
* tgt\_alpha2: no
* prefer\_old: False
* long\_pair: fra-nor
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.555",
"### System Info:\n\n\n* hf\\_name: fra-nor\n* source\\_languages: fra\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'no']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: nor\n* short\\_pair: fr-no\n* chrF2\\_score: 0.555\n* bleu: 36.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 3089.0\n* src\\_name: French\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fra-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.555",
"### System Info:\n\n\n* hf\\_name: fra-nor\n* source\\_languages: fra\n* target\\_languages: nor\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'no']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'nob', 'nno'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm4k,spm4k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: nor\n* short\\_pair: fr-no\n* chrF2\\_score: 0.555\n* bleu: 36.1\n* brevity\\_penalty: 0.981\n* ref\\_len: 3089.0\n* src\\_name: French\n* tgt\\_name: Norwegian\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: no\n* prefer\\_old: False\n* long\\_pair: fra-nor\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-nor\n\n\n* source group: French\n* target group: Norwegian\n* OPUS readme: fra-nor\n* model: transformer-align\n* source language(s): fra\n* target language(s): nno nob\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm4k,spm4k)\n* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 36.1, chr-F: 0.555"
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] |
null | null | transformers |
### opus-mt-fr-nso
* source languages: fr
* target languages: nso
* OPUS readme: [fr-nso](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-nso/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-nso/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.nso | 33.3 | 0.527 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-nso | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"nso",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-nso
* source languages: fr
* target languages: nso
* OPUS readme: fr-nso
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 33.3, chr-F: 0.527
| [
"### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.3, chr-F: 0.527"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.3, chr-F: 0.527"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #nso #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-nso\n\n\n* source languages: fr\n* target languages: nso\n* OPUS readme: fr-nso\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.3, chr-F: 0.527"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ny
* source languages: fr
* target languages: ny
* OPUS readme: [fr-ny](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ny/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ny/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ny | 23.2 | 0.481 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ny | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ny",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ny
* source languages: fr
* target languages: ny
* OPUS readme: fr-ny
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.2, chr-F: 0.481
| [
"### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.481"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.481"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ny #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ny\n\n\n* source languages: fr\n* target languages: ny\n* OPUS readme: fr-ny\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.2, chr-F: 0.481"
] | [
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] |
null | null | transformers |
### opus-mt-fr-pag
* source languages: fr
* target languages: pag
* OPUS readme: [fr-pag](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pag/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pag/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pag | 27.0 | 0.486 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-pag | [
"transformers",
"pytorch",
"tf",
"safetensors",
"marian",
"text2text-generation",
"translation",
"fr",
"pag",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-pag
* source languages: fr
* target languages: pag
* OPUS readme: fr-pag
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.0, chr-F: 0.486
| [
"### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-pag\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.486"
] | [
"TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-pag\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.486"
] | [
66,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #safetensors #marian #text2text-generation #translation #fr #pag #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pag\n\n\n* source languages: fr\n* target languages: pag\n* OPUS readme: fr-pag\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.0, chr-F: 0.486"
] | [
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] |
null | null | transformers |
### opus-mt-fr-pap
* source languages: fr
* target languages: pap
* OPUS readme: [fr-pap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pap/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pap | 27.8 | 0.464 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-pap | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"pap",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-pap
* source languages: fr
* target languages: pap
* OPUS readme: fr-pap
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.8, chr-F: 0.464
| [
"### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.464"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.464"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pap\n\n\n* source languages: fr\n* target languages: pap\n* OPUS readme: fr-pap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.8, chr-F: 0.464"
] | [
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] |
null | null | transformers |
### opus-mt-fr-pis
* source languages: fr
* target languages: pis
* OPUS readme: [fr-pis](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pis/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pis/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pis | 29.0 | 0.486 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-pis | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"pis",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-pis
* source languages: fr
* target languages: pis
* OPUS readme: fr-pis
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.0, chr-F: 0.486
| [
"### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.486"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.486"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pis #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pis\n\n\n* source languages: fr\n* target languages: pis\n* OPUS readme: fr-pis\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.0, chr-F: 0.486"
] | [
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] |
null | null | transformers |
### opus-mt-fr-pl
* source languages: fr
* target languages: pl
* OPUS readme: [fr-pl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.pl | 40.7 | 0.625 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-pl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"pl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-pl
* source languages: fr
* target languages: pl
* OPUS readme: fr-pl
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 40.7, chr-F: 0.625
| [
"### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.7, chr-F: 0.625"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.7, chr-F: 0.625"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pl\n\n\n* source languages: fr\n* target languages: pl\n* OPUS readme: fr-pl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 40.7, chr-F: 0.625"
] | [
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] |
null | null | transformers |
### opus-mt-fr-pon
* source languages: fr
* target languages: pon
* OPUS readme: [fr-pon](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-pon/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-pon/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.pon | 23.9 | 0.458 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-pon | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"pon",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-pon
* source languages: fr
* target languages: pon
* OPUS readme: fr-pon
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.9, chr-F: 0.458
| [
"### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #pon #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-pon\n\n\n* source languages: fr\n* target languages: pon\n* OPUS readme: fr-pon\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.9, chr-F: 0.458"
] | [
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] |
null | null | transformers |
### opus-mt-fr-rnd
* source languages: fr
* target languages: rnd
* OPUS readme: [fr-rnd](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rnd/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rnd/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rnd | 21.8 | 0.431 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-rnd | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"rnd",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-rnd
* source languages: fr
* target languages: rnd
* OPUS readme: fr-rnd
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 21.8, chr-F: 0.431
| [
"### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.431"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.431"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rnd #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-rnd\n\n\n* source languages: fr\n* target languages: rnd\n* OPUS readme: fr-rnd\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 21.8, chr-F: 0.431"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ro
* source languages: fr
* target languages: ro
* OPUS readme: [fr-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ro/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ro | 42.1 | 0.640 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ro | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ro",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ro
* source languages: fr
* target languages: ro
* OPUS readme: fr-ro
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 42.1, chr-F: 0.640
| [
"### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ro #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ro\n\n\n* source languages: fr\n* target languages: ro\n* OPUS readme: fr-ro\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 42.1, chr-F: 0.640"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ru
* source languages: fr
* target languages: ru
* OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ru | 37.9 | 0.585 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ru | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ru",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ru
* source languages: fr
* target languages: ru
* OPUS readme: fr-ru
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 37.9, chr-F: 0.585
| [
"### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.585"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.585"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ru #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ru\n\n\n* source languages: fr\n* target languages: ru\n* OPUS readme: fr-ru\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.9, chr-F: 0.585"
] | [
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] |
null | null | transformers |
### opus-mt-fr-run
* source languages: fr
* target languages: run
* OPUS readme: [fr-run](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-run/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-run/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.run | 23.8 | 0.482 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-run | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"run",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-run
* source languages: fr
* target languages: run
* OPUS readme: fr-run
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.8, chr-F: 0.482
| [
"### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #run #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-run\n\n\n* source languages: fr\n* target languages: run\n* OPUS readme: fr-run\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.8, chr-F: 0.482"
] | [
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] |
null | null | transformers |
### opus-mt-fr-rw
* source languages: fr
* target languages: rw
* OPUS readme: [fr-rw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-rw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-rw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.rw | 25.5 | 0.483 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-rw | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"rw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-rw
* source languages: fr
* target languages: rw
* OPUS readme: fr-rw
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.5, chr-F: 0.483
| [
"### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.483"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.483"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #rw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-rw\n\n\n* source languages: fr\n* target languages: rw\n* OPUS readme: fr-rw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.5, chr-F: 0.483"
] | [
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] |
null | null | transformers |
### opus-mt-fr-sg
* source languages: fr
* target languages: sg
* OPUS readme: [fr-sg](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sg/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sg/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sg | 29.7 | 0.473 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sg | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sg",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sg
* source languages: fr
* target languages: sg
* OPUS readme: fr-sg
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 29.7, chr-F: 0.473
| [
"### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sg\n\n\n* source languages: fr\n* target languages: sg\n* OPUS readme: fr-sg\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 29.7, chr-F: 0.473"
] | [
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] |
null | null | transformers |
### opus-mt-fr-sk
* source languages: fr
* target languages: sk
* OPUS readme: [fr-sk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sk/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sk | 24.9 | 0.456 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sk | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sk
* source languages: fr
* target languages: sk
* OPUS readme: fr-sk
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.9, chr-F: 0.456
| [
"### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sk\n\n\n* source languages: fr\n* target languages: sk\n* OPUS readme: fr-sk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.9, chr-F: 0.456"
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] |
null | null | transformers |
### opus-mt-fr-sl
* source languages: fr
* target languages: sl
* OPUS readme: [fr-sl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sl | 20.1 | 0.433 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sl
* source languages: fr
* target languages: sl
* OPUS readme: fr-sl
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 20.1, chr-F: 0.433
| [
"### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sl\n\n\n* source languages: fr\n* target languages: sl\n* OPUS readme: fr-sl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 20.1, chr-F: 0.433"
] | [
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null | null | transformers |
### opus-mt-fr-sm
* source languages: fr
* target languages: sm
* OPUS readme: [fr-sm](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sm/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sm/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sm | 28.8 | 0.474 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sm | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sm",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sm
* source languages: fr
* target languages: sm
* OPUS readme: fr-sm
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.8, chr-F: 0.474
| [
"### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sm #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sm\n\n\n* source languages: fr\n* target languages: sm\n* OPUS readme: fr-sm\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.8, chr-F: 0.474"
] | [
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] |
null | null | transformers |
### opus-mt-fr-sn
* source languages: fr
* target languages: sn
* OPUS readme: [fr-sn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.sn | 23.4 | 0.507 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sn | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sn
* source languages: fr
* target languages: sn
* OPUS readme: fr-sn
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.4, chr-F: 0.507
| [
"### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507"
] | [
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"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sn\n\n\n* source languages: fr\n* target languages: sn\n* OPUS readme: fr-sn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.4, chr-F: 0.507"
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] |
null | null | transformers |
### opus-mt-fr-srn
* source languages: fr
* target languages: srn
* OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.srn | 27.4 | 0.459 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-srn | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"srn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-srn
* source languages: fr
* target languages: srn
* OPUS readme: fr-srn
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.4, chr-F: 0.459
| [
"### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.459"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.459"
] | [
63,
105
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #srn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-srn\n\n\n* source languages: fr\n* target languages: srn\n* OPUS readme: fr-srn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.4, chr-F: 0.459"
] | [
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] |
null | null | transformers |
### opus-mt-fr-st
* source languages: fr
* target languages: st
* OPUS readme: [fr-st](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-st/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-st/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.st | 34.6 | 0.540 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-st | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"st",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-st
* source languages: fr
* target languages: st
* OPUS readme: fr-st
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 34.6, chr-F: 0.540
| [
"### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.540"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.540"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #st #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-st\n\n\n* source languages: fr\n* target languages: st\n* OPUS readme: fr-st\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 34.6, chr-F: 0.540"
] | [
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] |
null | null | transformers |
### opus-mt-fr-sv
* source languages: fr
* target languages: sv
* OPUS readme: [fr-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-sv/opus-2020-01-24.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.sv | 60.1 | 0.744 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-sv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"sv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-sv
* source languages: fr
* target languages: sv
* OPUS readme: fr-sv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 60.1, chr-F: 0.744
| [
"### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.1, chr-F: 0.744"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.1, chr-F: 0.744"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #sv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-sv\n\n\n* source languages: fr\n* target languages: sv\n* OPUS readme: fr-sv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 60.1, chr-F: 0.744"
] | [
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] |
null | null | transformers |
### opus-mt-fr-swc
* source languages: fr
* target languages: swc
* OPUS readme: [fr-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.swc | 28.2 | 0.499 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-swc | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"swc",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-swc
* source languages: fr
* target languages: swc
* OPUS readme: fr-swc
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 28.2, chr-F: 0.499
| [
"### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499"
] | [
63,
106
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #swc #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-swc\n\n\n* source languages: fr\n* target languages: swc\n* OPUS readme: fr-swc\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 28.2, chr-F: 0.499"
] | [
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] |
null | null | transformers |
### opus-mt-fr-tiv
* source languages: fr
* target languages: tiv
* OPUS readme: [fr-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tiv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tiv/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tiv | 23.5 | 0.406 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tiv | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tiv",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tiv
* source languages: fr
* target languages: tiv
* OPUS readme: fr-tiv
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.5, chr-F: 0.406
| [
"### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tiv #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tiv\n\n\n* source languages: fr\n* target languages: tiv\n* OPUS readme: fr-tiv\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.5, chr-F: 0.406"
] | [
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null | null | transformers |
### fra-tgl
* source group: French
* target group: Tagalog
* OPUS readme: [fra-tgl](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): tgl_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.tgl | 24.1 | 0.536 |
### System Info:
- hf_name: fra-tgl
- source_languages: fra
- target_languages: tgl
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-tgl/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'tl']
- src_constituents: {'fra'}
- tgt_constituents: {'tgl_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-tgl/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: tgl
- short_pair: fr-tl
- chrF2_score: 0.536
- bleu: 24.1
- brevity_penalty: 1.0
- ref_len: 5778.0
- src_name: French
- tgt_name: Tagalog
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: tl
- prefer_old: False
- long_pair: fra-tgl
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "tl"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"tl"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-tgl
* source group: French
* target group: Tagalog
* OPUS readme: fra-tgl
* model: transformer-align
* source language(s): fra
* target language(s): tgl\_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.1, chr-F: 0.536
### System Info:
* hf\_name: fra-tgl
* source\_languages: fra
* target\_languages: tgl
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'tl']
* src\_constituents: {'fra'}
* tgt\_constituents: {'tgl\_Latn'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: tgl
* short\_pair: fr-tl
* chrF2\_score: 0.536
* bleu: 24.1
* brevity\_penalty: 1.0
* ref\_len: 5778.0
* src\_name: French
* tgt\_name: Tagalog
* train\_date: 2020-06-17
* src\_alpha2: fr
* tgt\_alpha2: tl
* prefer\_old: False
* long\_pair: fra-tgl
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.536",
"### System Info:\n\n\n* hf\\_name: fra-tgl\n* source\\_languages: fra\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'tl']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: tgl\n* short\\_pair: fr-tl\n* chrF2\\_score: 0.536\n* bleu: 24.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 5778.0\n* src\\_name: French\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: fra-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.536",
"### System Info:\n\n\n* hf\\_name: fra-tgl\n* source\\_languages: fra\n* target\\_languages: tgl\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'tl']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'tgl\\_Latn'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: tgl\n* short\\_pair: fr-tl\n* chrF2\\_score: 0.536\n* bleu: 24.1\n* brevity\\_penalty: 1.0\n* ref\\_len: 5778.0\n* src\\_name: French\n* tgt\\_name: Tagalog\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: tl\n* prefer\\_old: False\n* long\\_pair: fra-tgl\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
62,
127,
398
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-tgl\n\n\n* source group: French\n* target group: Tagalog\n* OPUS readme: fra-tgl\n* model: transformer-align\n* source language(s): fra\n* target language(s): tgl\\_Latn\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.536"
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null | null | transformers |
### opus-mt-fr-tll
* source languages: fr
* target languages: tll
* OPUS readme: [fr-tll](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tll/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tll/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tll | 24.6 | 0.467 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tll | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tll",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tll
* source languages: fr
* target languages: tll
* OPUS readme: fr-tll
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.6, chr-F: 0.467
| [
"### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.467"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.467"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tll #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tll\n\n\n* source languages: fr\n* target languages: tll\n* OPUS readme: fr-tll\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.6, chr-F: 0.467"
] | [
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] |
null | null | transformers |
### opus-mt-fr-tn
* source languages: fr
* target languages: tn
* OPUS readme: [fr-tn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tn/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tn | 33.1 | 0.525 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tn | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tn",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tn
* source languages: fr
* target languages: tn
* OPUS readme: fr-tn
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 33.1, chr-F: 0.525
| [
"### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tn #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tn\n\n\n* source languages: fr\n* target languages: tn\n* OPUS readme: fr-tn\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.1, chr-F: 0.525"
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null | null | transformers |
### opus-mt-fr-to
* source languages: fr
* target languages: to
* OPUS readme: [fr-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.to | 37.0 | 0.518 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-to | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"to",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-to
* source languages: fr
* target languages: to
* OPUS readme: fr-to
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 37.0, chr-F: 0.518
| [
"### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #to #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-to\n\n\n* source languages: fr\n* target languages: to\n* OPUS readme: fr-to\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 37.0, chr-F: 0.518"
] | [
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null | null | transformers |
### opus-mt-fr-tpi
* source languages: fr
* target languages: tpi
* OPUS readme: [fr-tpi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tpi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tpi/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tpi | 30.0 | 0.487 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tpi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tpi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tpi
* source languages: fr
* target languages: tpi
* OPUS readme: fr-tpi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 30.0, chr-F: 0.487
| [
"### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.487"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.487"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tpi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tpi\n\n\n* source languages: fr\n* target languages: tpi\n* OPUS readme: fr-tpi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 30.0, chr-F: 0.487"
] | [
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null | null | transformers |
### opus-mt-fr-ts
* source languages: fr
* target languages: ts
* OPUS readme: [fr-ts](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ts/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ts/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ts | 31.4 | 0.525 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ts | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ts",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ts
* source languages: fr
* target languages: ts
* OPUS readme: fr-ts
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.4, chr-F: 0.525
| [
"### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ts #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ts\n\n\n* source languages: fr\n* target languages: ts\n* OPUS readme: fr-ts\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.4, chr-F: 0.525"
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] |
null | null | transformers |
### opus-mt-fr-tum
* source languages: fr
* target languages: tum
* OPUS readme: [fr-tum](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tum/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tum/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tum | 23.0 | 0.458 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tum | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tum
* source languages: fr
* target languages: tum
* OPUS readme: fr-tum
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 23.0, chr-F: 0.458
| [
"### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tum\n\n\n* source languages: fr\n* target languages: tum\n* OPUS readme: fr-tum\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 23.0, chr-F: 0.458"
] | [
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] |
null | null | transformers |
### opus-mt-fr-tvl
* source languages: fr
* target languages: tvl
* OPUS readme: [fr-tvl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tvl/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tvl/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tvl | 32.6 | 0.497 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tvl | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tvl",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tvl
* source languages: fr
* target languages: tvl
* OPUS readme: fr-tvl
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 32.6, chr-F: 0.497
| [
"### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tvl #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tvl\n\n\n* source languages: fr\n* target languages: tvl\n* OPUS readme: fr-tvl\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 32.6, chr-F: 0.497"
] | [
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] |
null | null | transformers |
### opus-mt-fr-tw
* source languages: fr
* target languages: tw
* OPUS readme: [fr-tw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-tw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-tw/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tw | 27.9 | 0.469 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-tw | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"tw",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-tw
* source languages: fr
* target languages: tw
* OPUS readme: fr-tw
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.9, chr-F: 0.469
| [
"### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #tw #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-tw\n\n\n* source languages: fr\n* target languages: tw\n* OPUS readme: fr-tw\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.9, chr-F: 0.469"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ty
* source languages: fr
* target languages: ty
* OPUS readme: [fr-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ty/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ty/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ty | 39.6 | 0.561 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ty | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ty",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ty
* source languages: fr
* target languages: ty
* OPUS readme: fr-ty
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 39.6, chr-F: 0.561
| [
"### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.561"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.561"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ty #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ty\n\n\n* source languages: fr\n* target languages: ty\n* OPUS readme: fr-ty\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.6, chr-F: 0.561"
] | [
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null | null | transformers |
### opus-mt-fr-uk
* source languages: fr
* target languages: uk
* OPUS readme: [fr-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-uk/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-uk/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.uk | 39.4 | 0.581 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-uk | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"uk",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-uk
* source languages: fr
* target languages: uk
* OPUS readme: fr-uk
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 39.4, chr-F: 0.581
| [
"### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #uk #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-uk\n\n\n* source languages: fr\n* target languages: uk\n* OPUS readme: fr-uk\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 39.4, chr-F: 0.581"
] | [
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] |
null | null | transformers |
### opus-mt-fr-ve
* source languages: fr
* target languages: ve
* OPUS readme: [fr-ve](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ve/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ve/opus-2020-01-20.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ve | 26.3 | 0.481 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-ve | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"ve",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-ve
* source languages: fr
* target languages: ve
* OPUS readme: fr-ve
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 26.3, chr-F: 0.481
| [
"### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.481"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.481"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #ve #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-ve\n\n\n* source languages: fr\n* target languages: ve\n* OPUS readme: fr-ve\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 26.3, chr-F: 0.481"
] | [
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null | null | transformers |
### fra-vie
* source group: French
* target group: Vietnamese
* OPUS readme: [fra-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.vie | 31.1 | 0.486 |
### System Info:
- hf_name: fra-vie
- source_languages: fra
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'vi']
- src_constituents: {'fra'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: vie
- short_pair: fr-vi
- chrF2_score: 0.486
- bleu: 31.1
- brevity_penalty: 0.985
- ref_len: 13219.0
- src_name: French
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: vi
- prefer_old: False
- long_pair: fra-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["fr", "vi"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-vi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"vi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"fr",
"vi"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### fra-vie
* source group: French
* target group: Vietnamese
* OPUS readme: fra-vie
* model: transformer-align
* source language(s): fra
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 31.1, chr-F: 0.486
### System Info:
* hf\_name: fra-vie
* source\_languages: fra
* target\_languages: vie
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['fr', 'vi']
* src\_constituents: {'fra'}
* tgt\_constituents: {'vie', 'vie\_Hani'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: fra
* tgt\_alpha3: vie
* short\_pair: fr-vi
* chrF2\_score: 0.486
* bleu: 31.1
* brevity\_penalty: 0.985
* ref\_len: 13219.0
* src\_name: French
* tgt\_name: Vietnamese
* train\_date: 2020-06-17
* src\_alpha2: fr
* tgt\_alpha2: vi
* prefer\_old: False
* long\_pair: fra-vie
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486",
"### System Info:\n\n\n* hf\\_name: fra-vie\n* source\\_languages: fra\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'vi']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: vie\n* short\\_pair: fr-vi\n* chrF2\\_score: 0.486\n* bleu: 31.1\n* brevity\\_penalty: 0.985\n* ref\\_len: 13219.0\n* src\\_name: French\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: fra-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486",
"### System Info:\n\n\n* hf\\_name: fra-vie\n* source\\_languages: fra\n* target\\_languages: vie\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['fr', 'vi']\n* src\\_constituents: {'fra'}\n* tgt\\_constituents: {'vie', 'vie\\_Hani'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: fra\n* tgt\\_alpha3: vie\n* short\\_pair: fr-vi\n* chrF2\\_score: 0.486\n* bleu: 31.1\n* brevity\\_penalty: 0.985\n* ref\\_len: 13219.0\n* src\\_name: French\n* tgt\\_name: Vietnamese\n* train\\_date: 2020-06-17\n* src\\_alpha2: fr\n* tgt\\_alpha2: vi\n* prefer\\_old: False\n* long\\_pair: fra-vie\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
121,
398
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #vi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### fra-vie\n\n\n* source group: French\n* target group: Vietnamese\n* OPUS readme: fra-vie\n* model: transformer-align\n* source language(s): fra\n* target language(s): vie\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 31.1, chr-F: 0.486"
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] |
null | null | transformers |
### opus-mt-fr-war
* source languages: fr
* target languages: war
* OPUS readme: [fr-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-war/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-war/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.war | 33.7 | 0.538 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-war | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"war",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-war
* source languages: fr
* target languages: war
* OPUS readme: fr-war
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 33.7, chr-F: 0.538
| [
"### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538"
] | [
61,
99
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #war #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-war\n\n\n* source languages: fr\n* target languages: war\n* OPUS readme: fr-war\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 33.7, chr-F: 0.538"
] | [
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] |
null | null | transformers |
### opus-mt-fr-wls
* source languages: fr
* target languages: wls
* OPUS readme: [fr-wls](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-wls/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-wls/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.wls | 27.5 | 0.478 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-wls | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"wls",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-wls
* source languages: fr
* target languages: wls
* OPUS readme: fr-wls
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 27.5, chr-F: 0.478
| [
"### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478"
] | [
62,
103
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #wls #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-wls\n\n\n* source languages: fr\n* target languages: wls\n* OPUS readme: fr-wls\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 27.5, chr-F: 0.478"
] | [
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] |
null | null | transformers |
### opus-mt-fr-xh
* source languages: fr
* target languages: xh
* OPUS readme: [fr-xh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-xh/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-xh/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.xh | 25.1 | 0.523 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-xh | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"xh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-xh
* source languages: fr
* target languages: xh
* OPUS readme: fr-xh
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.1, chr-F: 0.523
| [
"### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523"
] | [
62,
102
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #xh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-xh\n\n\n* source languages: fr\n* target languages: xh\n* OPUS readme: fr-xh\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.1, chr-F: 0.523"
] | [
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] |
null | null | transformers |
### opus-mt-fr-yap
* source languages: fr
* target languages: yap
* OPUS readme: [fr-yap](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yap/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yap/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.yap | 25.8 | 0.434 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-yap | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"yap",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-yap
* source languages: fr
* target languages: yap
* OPUS readme: fr-yap
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.8, chr-F: 0.434
| [
"### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yap #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-yap\n\n\n* source languages: fr\n* target languages: yap\n* OPUS readme: fr-yap\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.8, chr-F: 0.434"
] | [
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] |
null | null | transformers |
### opus-mt-fr-yo
* source languages: fr
* target languages: yo
* OPUS readme: [fr-yo](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-yo/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-yo/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.yo | 25.9 | 0.415 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-yo | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"yo",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-yo
* source languages: fr
* target languages: yo
* OPUS readme: fr-yo
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 25.9, chr-F: 0.415
| [
"### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415"
] | [
61,
100
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #yo #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-yo\n\n\n* source languages: fr\n* target languages: yo\n* OPUS readme: fr-yo\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 25.9, chr-F: 0.415"
] | [
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] |
null | null | transformers |
### opus-mt-fr-zne
* source languages: fr
* target languages: zne
* OPUS readme: [fr-zne](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-zne/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-zne/opus-2020-01-16.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fr.zne | 24.1 | 0.460 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fr-zne | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fr",
"zne",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fr-zne
* source languages: fr
* target languages: zne
* OPUS readme: fr-zne
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 24.1, chr-F: 0.460
| [
"### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.460"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.460"
] | [
61,
101
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fr #zne #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fr-zne\n\n\n* source languages: fr\n* target languages: zne\n* OPUS readme: fr-zne\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 24.1, chr-F: 0.460"
] | [
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] |
null | null | transformers |
### opus-mt-fse-fi
* source languages: fse
* target languages: fi
* OPUS readme: [fse-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fse-fi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fse-fi/opus-2020-01-09.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| JW300.fse.fi | 90.2 | 0.943 |
| {"license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-fse-fi | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"fse",
"fi",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### opus-mt-fse-fi
* source languages: fse
* target languages: fi
* OPUS readme: fse-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 90.2, chr-F: 0.943
| [
"### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 90.2, chr-F: 0.943"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 90.2, chr-F: 0.943"
] | [
62,
104
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #fse #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### opus-mt-fse-fi\n\n\n* source languages: fse\n* target languages: fi\n* OPUS readme: fse-fi\n* dataset: opus\n* model: transformer-align\n* pre-processing: normalization + SentencePiece\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 90.2, chr-F: 0.943"
] | [
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null | null | transformers |
### gle-eng
* source group: Irish
* target group: English
* OPUS readme: [gle-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md)
* model: transformer-align
* source language(s): gle
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.eval.txt)
## Benchmarks
| testset | BLEU | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.gle.eng | 51.6 | 0.672 |
### System Info:
- hf_name: gle-eng
- source_languages: gle
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ga', 'en']
- src_constituents: {'gle'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro: normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt
- src_alpha3: gle
- tgt_alpha3: eng
- short_pair: ga-en
- chrF2_score: 0.672
- bleu: 51.6
- brevity_penalty: 1.0
- ref_len: 11247.0
- src_name: Irish
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ga
- tgt_alpha2: en
- prefer_old: False
- long_pair: gle-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41 | {"language": ["ga", "en"], "license": "apache-2.0", "tags": ["translation"]} | translation | Helsinki-NLP/opus-mt-ga-en | [
"transformers",
"pytorch",
"tf",
"marian",
"text2text-generation",
"translation",
"ga",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | 2022-03-02T23:29:04+00:00 | [] | [
"ga",
"en"
] | TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| ### gle-eng
* source group: Irish
* target group: English
* OPUS readme: gle-eng
* model: transformer-align
* source language(s): gle
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL
Benchmarks
----------
testset: URL, BLEU: 51.6, chr-F: 0.672
### System Info:
* hf\_name: gle-eng
* source\_languages: gle
* target\_languages: eng
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ga', 'en']
* src\_constituents: {'gle'}
* tgt\_constituents: {'eng'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: gle
* tgt\_alpha3: eng
* short\_pair: ga-en
* chrF2\_score: 0.672
* bleu: 51.6
* brevity\_penalty: 1.0
* ref\_len: 11247.0
* src\_name: Irish
* tgt\_name: English
* train\_date: 2020-06-17
* src\_alpha2: ga
* tgt\_alpha2: en
* prefer\_old: False
* long\_pair: gle-eng
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
| [
"### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.672",
"### System Info:\n\n\n* hf\\_name: gle-eng\n* source\\_languages: gle\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ga', 'en']\n* src\\_constituents: {'gle'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gle\n* tgt\\_alpha3: eng\n* short\\_pair: ga-en\n* chrF2\\_score: 0.672\n* bleu: 51.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 11247.0\n* src\\_name: Irish\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ga\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gle-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
"TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.672",
"### System Info:\n\n\n* hf\\_name: gle-eng\n* source\\_languages: gle\n* target\\_languages: eng\n* opus\\_readme\\_url: URL\n* original\\_repo: Tatoeba-Challenge\n* tags: ['translation']\n* languages: ['ga', 'en']\n* src\\_constituents: {'gle'}\n* tgt\\_constituents: {'eng'}\n* src\\_multilingual: False\n* tgt\\_multilingual: False\n* prepro: normalization + SentencePiece (spm32k,spm32k)\n* url\\_model: URL\n* url\\_test\\_set: URL\n* src\\_alpha3: gle\n* tgt\\_alpha3: eng\n* short\\_pair: ga-en\n* chrF2\\_score: 0.672\n* bleu: 51.6\n* brevity\\_penalty: 1.0\n* ref\\_len: 11247.0\n* src\\_name: Irish\n* tgt\\_name: English\n* train\\_date: 2020-06-17\n* src\\_alpha2: ga\n* tgt\\_alpha2: en\n* prefer\\_old: False\n* long\\_pair: gle-eng\n* helsinki\\_git\\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535\n* transformers\\_git\\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b\n* port\\_machine: brutasse\n* port\\_time: 2020-08-21-14:41"
] | [
61,
120,
386
] | [
"passage: TAGS\n#transformers #pytorch #tf #marian #text2text-generation #translation #ga #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n### gle-eng\n\n\n* source group: Irish\n* target group: English\n* OPUS readme: gle-eng\n* model: transformer-align\n* source language(s): gle\n* target language(s): eng\n* model: transformer-align\n* pre-processing: normalization + SentencePiece (spm32k,spm32k)\n* download original weights: URL\n* test set translations: URL\n* test set scores: URL\n\n\nBenchmarks\n----------\n\n\ntestset: URL, BLEU: 51.6, chr-F: 0.672"
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Subsets and Splits