
### bel-spa

* source group: Belarusian 
* target group: Spanish 
*  OPUS readme: [bel-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md)

*  model: transformer-align
* source language(s): bel bel_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bel.spa 	| 11.8 	| 0.272 |


### System Info: 
- hf_name: bel-spa

- source_languages: bel

- target_languages: spa

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

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['be', 'es']

- src_constituents: {'bel', 'bel_Latn'}

- tgt_constituents: {'spa'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm4k,spm4k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt

- src_alpha3: bel

- tgt_alpha3: spa

- short_pair: be-es

- chrF2_score: 0.272

- bleu: 11.8

- brevity_penalty: 0.892

- ref_len: 1412.0

- src_name: Belarusian

- tgt_name: Spanish

- train_date: 2020-06-16

- src_alpha2: be

- tgt_alpha2: es

- prefer_old: False

- long_pair: bel-spa

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["be", "es"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation be es license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #be #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### bel-spa


* source group: Belarusian
* target group: Spanish
* OPUS readme: bel-spa
* model: transformer-align
* source language(s): bel bel\_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 11.8, chr-F: 0.272


### System Info:


* hf\_name: bel-spa
* source\_languages: bel
* target\_languages: spa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['be', 'es']
* src\_constituents: {'bel', 'bel\_Latn'}
* tgt\_constituents: {'spa'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: bel
* tgt\_alpha3: spa
* short\_pair: be-es
* chrF2\_score: 0.272
* bleu: 11.8
* brevity\_penalty: 0.892
* ref\_len: 1412.0
* src\_name: Belarusian
* tgt\_name: Spanish
* train\_date: 2020-06-16
* src\_alpha2: be
* tgt\_alpha2: es
* prefer\_old: False
* long\_pair: bel-spa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### bel-spa


* source group: Belarusian
* target group: Spanish
* OPUS readme: bel-spa
* model: transformer-align
* source language(s): bel bel\_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 11.8, chr-F: 0.272 ### System Info:


* hf\_name: bel-spa
* source\_languages: bel
* target\_languages: spa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['be', 'es']
* src\_constituents: {'bel', 'bel\_Latn'}
* tgt\_constituents: {'spa'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: bel
* tgt\_alpha3: spa
* short\_pair: be-es
* chrF2\_score: 0.272
* bleu: 11.8
* brevity\_penalty: 0.892
* ref\_len: 1412.0
* src\_name: Belarusian
* tgt\_name: Spanish
* train\_date: 2020-06-16
* src\_alpha2: be
* tgt\_alpha2: es
* prefer\_old: False
* long\_pair: bel-spa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #be #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### bel-spa


* source group: Belarusian
* target group: Spanish
* OPUS readme: bel-spa
* model: transformer-align
* source language(s): bel bel\_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 11.8, chr-F: 0.272 ### System Info:


* hf\_name: bel-spa
* source\_languages: bel
* target\_languages: spa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['be', 'es']
* src\_constituents: {'bel', 'bel\_Latn'}
* tgt\_constituents: {'spa'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: bel
* tgt\_alpha3: spa
* short\_pair: be-es
* chrF2\_score: 0.272
* bleu: 11.8
* brevity\_penalty: 0.892
* ref\_len: 1412.0
* src\_name: Belarusian
* tgt\_name: Spanish
* train\_date: 2020-06-16
* src\_alpha2: be
* tgt\_alpha2: es
* prefer\_old: False
* long\_pair: bel-spa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #be #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### bel-spa


* source group: Belarusian
* target group: Spanish
* OPUS readme: bel-spa
* model: transformer-align
* source language(s): bel bel\_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 11.8, chr-F: 0.272### System Info:


* hf\_name: bel-spa
* source\_languages: bel
* target\_languages: spa
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['be', 'es']
* src\_constituents: {'bel', 'bel\_Latn'}
* tgt\_constituents: {'spa'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm4k,spm4k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: bel
* tgt\_alpha3: spa
* short\_pair: be-es
* chrF2\_score: 0.272
* bleu: 11.8
* brevity\_penalty: 0.892
* ref\_len: 1412.0
* src\_name: Belarusian
* tgt\_name: Spanish
* train\_date: 2020-06-16
* src\_alpha2: be
* tgt\_alpha2: es
* prefer\_old: False
* long\_pair: bel-spa
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41