### he-fr

* source group: Hebrew 
* target group: French 
*  OPUS readme: [heb-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-fra/README.md)

*  model: transformer
* source language(s): heb
* target language(s): fra
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.fra 	| 47.3 	| 0.644 |


### System Info: 
- hf_name: he-fr

- source_languages: heb

- target_languages: fra

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-fra/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['he', 'fr']

- src_constituents: ('Hebrew', {'heb'})

- tgt_constituents: ('French', {'fra'})

- src_multilingual: False

- tgt_multilingual: False

- long_pair: heb-fra

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-fra/opus-2020-12-10.test.txt

- src_alpha3: heb

- tgt_alpha3: fra

- chrF2_score: 0.644

- bleu: 47.3

- brevity_penalty: 0.9740000000000001

- ref_len: 26123.0

- src_name: Hebrew

- tgt_name: French

- train_date: 2020-12-10 00:00:00

- src_alpha2: he

- tgt_alpha2: fr

- prefer_old: False

- short_pair: he-fr

- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96

- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de

- port_machine: LM0-400-22516.local

- port_time: 2020-12-11-16:03
{"language": ["he", "fr"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation he fr license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### he-fr


* source group: Hebrew
* target group: French
* OPUS readme: heb-fra
* model: transformer
* source language(s): heb
* target language(s): fra
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 47.3, chr-F: 0.644


### System Info:


* hf\_name: he-fr
* source\_languages: heb
* target\_languages: fra
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'fr']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('French', {'fra'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-fra
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: fra
* chrF2\_score: 0.644
* bleu: 47.3
* brevity\_penalty: 0.9740000000000001
* ref\_len: 26123.0
* src\_name: Hebrew
* tgt\_name: French
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: he
* tgt\_alpha2: fr
* prefer\_old: False
* short\_pair: he-fr
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:03



### he-fr


* source group: Hebrew
* target group: French
* OPUS readme: heb-fra
* model: transformer
* source language(s): heb
* target language(s): fra
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 47.3, chr-F: 0.644 ### System Info:


* hf\_name: he-fr
* source\_languages: heb
* target\_languages: fra
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'fr']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('French', {'fra'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-fra
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: fra
* chrF2\_score: 0.644
* bleu: 47.3
* brevity\_penalty: 0.9740000000000001
* ref\_len: 26123.0
* src\_name: Hebrew
* tgt\_name: French
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: he
* tgt\_alpha2: fr
* prefer\_old: False
* short\_pair: he-fr
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:03
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### he-fr


* source group: Hebrew
* target group: French
* OPUS readme: heb-fra
* model: transformer
* source language(s): heb
* target language(s): fra
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 47.3, chr-F: 0.644 ### System Info:


* hf\_name: he-fr
* source\_languages: heb
* target\_languages: fra
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['he', 'fr']
* src\_constituents: ('Hebrew', {'heb'})
* tgt\_constituents: ('French', {'fra'})
* src\_multilingual: False
* tgt\_multilingual: False
* long\_pair: heb-fra
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: heb
* tgt\_alpha3: fra
* chrF2\_score: 0.644
* bleu: 47.3
* brevity\_penalty: 0.9740000000000001
* ref\_len: 26123.0
* src\_name: Hebrew
* tgt\_name: French
* train\_date: 2020-12-10 00:00:00
* src\_alpha2: he
* tgt\_alpha2: fr
* prefer\_old: False
* short\_pair: he-fr
* helsinki\_git\_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
* transformers\_git\_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
* port\_machine: URL
* port\_time: 2020-12-11-16:03
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #he #fr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### he-fr


* source group: Hebrew
* target group: French
* OPUS readme: heb-fra
* model: transformer
* source language(s): heb
* target language(s): fra
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 47.3, chr-F: 0.644