- hf_name: ukr-deu
- source_languages: ukr
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'de']
- src_constituents: {'ukr'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-deu/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: deu
- short_pair: uk-de
- chrF2_score: 0.6609999999999999
- bleu: 48.2
- brevity_penalty: 0.98
- ref_len: 62298.0
- src_name: Ukrainian
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: de
- prefer_old: False
- long_pair: ukr-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, uk, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-niu-de


* source languages: niu
* target languages: de
* OPUS readme: [niu-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.niu.de 	| 20.2 	| 0.395 |


model name: opus-mt-niu-de


tags: pytorch, marian, text2text-generation, niu, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- no
- fr


- translation


## license: apache-2.0


### nor-fra


* source group: Norwegian
* target group: French
* OPUS readme: [nor-fra](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fra/README.md)
* model: transformer-align
* source language(s): nno nob
* target language(s): fra
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.fra 	| 39.1 	| 0.578 |


### System Info:


- hf_name: nor-fra
- source_languages: nor
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'fr']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fra/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: fra
- short_pair: no-fr
- chrF2_score: 0.578
- bleu: 39.1
- brevity_penalty: 0.987
- ref_len: 3205.0
- src_name: Norwegian
- tgt_name: French
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: fr
- prefer_old: False
- long_pair: nor-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-fr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, no, fr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-es-ha


* source languages: es
* target languages: ha
* OPUS readme: [es-ha](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-ha/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/es-ha/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-ha/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ha 	| 20.6 	| 0.421 |


model name: opus-mt-es-ha


tags: pytorch, marian, text2text-generation, es, ha, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-bg-sv


* source languages: bg
* target languages: sv
* OPUS readme: [bg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bg-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-sv/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bg.sv 	| 29.1 	| 0.494 |


model name: opus-mt-bg-sv


tags: pytorch, marian, text2text-generation, bg, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- uk
- he


- translation


## license: apache-2.0


### ukr-heb


* source group: Ukrainian
* target group: Hebrew
* OPUS readme: [ukr-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): heb
* 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/ukr-heb/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.heb 	| 35.7 	| 0.557 |


### System Info:


- hf_name: ukr-heb
- source_languages: ukr
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'he']
- src_constituents: {'ukr'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-heb/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: heb
- short_pair: uk-he
- chrF2_score: 0.557
- bleu: 35.7
- brevity_penalty: 1.0
- ref_len: 4765.0
- src_name: Ukrainian
- tgt_name: Hebrew
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: he
- prefer_old: False
- long_pair: ukr-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-he


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, uk, he, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ilo-de


* source languages: ilo
* target languages: de
* OPUS readme: [ilo-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ilo-de/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/ilo-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ilo-de/opus-2020-01-20.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.de 	| 26.1 	| 0.474 |


model name: opus-mt-ilo-de


tags: pytorch, marian, text2text-generation, ilo, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- sl
- ru


- translation


## license: apache-2.0


### slv-rus


* source group: Slovenian
* target group: Russian
* OPUS readme: [slv-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md)
* model: transformer-align
* source language(s): slv
* target language(s): rus
* 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/slv-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.slv.rus 	| 37.3 	| 0.504 |


### System Info:


- hf_name: slv-rus
- source_languages: slv
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/slv-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['sl', 'ru']
- src_constituents: {'slv'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/slv-rus/opus-2020-06-17.test.txt
- src_alpha3: slv
- tgt_alpha3: rus
- short_pair: sl-ru
- chrF2_score: 0.504
- bleu: 37.3
- brevity_penalty: 0.988
- ref_len: 2101.0
- src_name: Slovenian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: sl
- tgt_alpha2: ru
- prefer_old: False
- long_pair: slv-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sl-ru


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sl, ru, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-eo-es


* source languages: eo
* target languages: es
* OPUS readme: [eo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-es/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/eo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-es/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.es 	| 44.2 	| 0.631 |


model name: opus-mt-eo-es


tags: pytorch, marian, text2text-generation, eo, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-de-ln


* source languages: de
* target languages: ln
* OPUS readme: [de-ln](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-ln/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/de-ln/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-ln/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ln 	| 26.7 	| 0.504 |


model name: opus-mt-de-ln


tags: pytorch, marian, text2text-generation, de, ln, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-guw


* source languages: en
* target languages: guw
* OPUS readme: [en-guw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-guw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-guw/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.guw 	| 45.7 	| 0.634 |


model name: opus-mt-en-guw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, guw, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- eu
- es


tags:


- translation


## license: apache-2.0


### eus-spa


* source group: Basque
* target group: Spanish
* OPUS readme: [eus-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md)
* model: transformer-align
* source language(s): eus
* target language(s): spa
* 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/eus-spa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eus.spa 	| 48.8 	| 0.673 |


### System Info:


- hf_name: eus-spa
- source_languages: eus
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eus-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eu', 'es']
- src_constituents: {'eus'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eus-spa/opus-2020-06-17.test.txt
- src_alpha3: eus
- tgt_alpha3: spa
- short_pair: eu-es
- chrF2_score: 0.6729999999999999
- bleu: 48.8
- brevity_penalty: 0.9640000000000001
- ref_len: 12469.0
- src_name: Basque
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: eu
- tgt_alpha2: es
- prefer_old: False
- long_pair: eus-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eu-es


tags: pytorch, marian, text2text-generation, eu, es, transformers, translation, license:apache-2.0, autonlp_compatible


- zh
- vi


### zho-vie


* source group: Chinese
* target group: Vietnamese
* OPUS readme: [zho-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-vie/README.md)
* model: transformer-align
* source language(s): cmn_Hani cmn_Latn
* 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/zho-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-vie/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.vie 	| 20.0 	| 0.385 |


- hf_name: zho-vie
- source_languages: zho
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'vi']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- 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/zho-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-vie/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: vie
- short_pair: zh-vi
- chrF2_score: 0.385
- bleu: 20.0
- brevity_penalty: 0.917
- ref_len: 4667.0
- src_name: Chinese
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: vi
- prefer_old: False
- long_pair: zho-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-vi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, zh, vi, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ja-fr


* source languages: ja
* target languages: fr
* OPUS readme: [ja-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ja-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/ja-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ja-fr/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ja.fr 	| 33.6 	| 0.534 |


model name: opus-mt-ja-fr


tags: pytorch, marian, text2text-generation, ja, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-ht


* source languages: sv
* target languages: ht
* OPUS readme: [sv-ht](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-ht/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/sv-ht/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ht/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ht/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ht 	| 28.0 	| 0.457 |


model name: opus-mt-sv-ht


tags: pytorch, marian, text2text-generation, sv, ht, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ko
- fi


- translation


## license: apache-2.0


### kor-fin


* source group: Korean
* target group: Finnish
* OPUS readme: [kor-fin](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md)
* model: transformer-align
* source language(s): kor kor_Hang kor_Latn
* target language(s): fin
* 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/kor-fin/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.fin 	| 26.6 	| 0.502 |


### System Info:


- hf_name: kor-fin
- source_languages: kor
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'fi']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-fin/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: fin
- short_pair: ko-fi
- chrF2_score: 0.502
- bleu: 26.6
- brevity_penalty: 0.892
- ref_len: 2251.0
- src_name: Korean
- tgt_name: Finnish
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: fi
- prefer_old: False
- long_pair: kor-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-fi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ko, fi, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-kqn-sv


* source languages: kqn
* target languages: sv
* OPUS readme: [kqn-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kqn-sv/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/kqn-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kqn-sv/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.sv 	| 23.3 	| 0.409 |


model name: opus-mt-kqn-sv


tags: pytorch, marian, text2text-generation, kqn, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- pt
- eo


- translation


## license: apache-2.0


### por-epo


* source group: Portuguese
* target group: Esperanto
* OPUS readme: [por-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md)
* model: transformer-align
* source language(s): por
* target language(s): epo
* 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/por-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.epo 	| 26.8 	| 0.497 |


### System Info:


- hf_name: por-epo
- source_languages: por
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'eo']
- src_constituents: {'por'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-epo/opus-2020-06-16.test.txt
- src_alpha3: por
- tgt_alpha3: epo
- short_pair: pt-eo
- chrF2_score: 0.49700000000000005
- bleu: 26.8
- brevity_penalty: 0.948
- ref_len: 87408.0
- src_name: Portuguese
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: pt
- tgt_alpha2: eo
- prefer_old: False
- long_pair: por-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pt-eo


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pt, eo, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### 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 |


model name: opus-mt-fr-es


tags: pytorch, marian, text2text-generation, fr, es, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-eo-en


* source languages: eo
* target languages: en
* OPUS readme: [eo-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/eo-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/eo-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.en 	| 54.8 	| 0.694 |


model name: opus-mt-eo-en


tags: pytorch, marian, text2text-generation, eo, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-bi


* source languages: en
* target languages: bi
* OPUS readme: [en-bi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-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/en-bi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bi/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bi 	| 36.4 	| 0.543 |


model name: opus-mt-en-bi


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, bi, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-bem-fr


* source languages: bem
* target languages: fr
* OPUS readme: [bem-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bem-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/bem-fr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bem-fr/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.fr 	| 25.0 	| 0.417 |


model name: opus-mt-bem-fr


tags: pytorch, marian, text2text-generation, bem, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-to-en


* source languages: to
* target languages: en
* OPUS readme: [to-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-en/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/to-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-en/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.to.en 	| 49.3 	| 0.627 |


model name: opus-mt-to-en


tags: pytorch, marian, text2text-generation, to, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-to-sv


* source languages: to
* target languages: sv
* OPUS readme: [to-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/to-sv/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/to-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/to-sv/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.to.sv 	| 30.7 	| 0.493 |


model name: opus-mt-to-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, to, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ro-sv


* source languages: ro
* target languages: sv
* OPUS readme: [ro-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ro-sv/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/ro-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ro-sv/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ro.sv 	| 31.2 	| 0.529 |


model name: opus-mt-ro-sv


tags: pytorch, marian, text2text-generation, ro, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-war


* source languages: fi
* target languages: war
* OPUS readme: [fi-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-war/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/fi-war/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-war/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-war/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.war 	| 35.1 	| 0.565 |


model name: opus-mt-fi-war


tags: pytorch, marian, text2text-generation, fi, war, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- fr
- ar


- translation


## license: apache-2.0


### 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)


| 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


model name: opus-mt-fr-ar


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fr, ar, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-en-ti


* source languages: en
* target languages: ti
* OPUS readme: [en-ti](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ti/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ti/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ti 	| 25.3 	| 0.382 |


model name: opus-mt-en-ti


tags: pytorch, marian, text2text-generation, en, ti, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-it-sv


* source languages: it
* target languages: sv
* OPUS readme: [it-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/it-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/it-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/it-sv/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.sv 	| 56.0 	| 0.707 |


model name: opus-mt-it-sv


tags: pytorch, marian, text2text-generation, it, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-loz-en


* source languages: loz
* target languages: en
* OPUS readme: [loz-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/loz-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/loz-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/loz-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.en 	| 42.1 	| 0.565 |


model name: opus-mt-loz-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, loz, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-nso-de


* source languages: nso
* target languages: de
* OPUS readme: [nso-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/nso-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-21.zip](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nso-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.de 	| 24.7 	| 0.461 |


model name: opus-mt-nso-de


tags: pytorch, marian, text2text-generation, nso, de, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- rn
- ru


- translation


## license: apache-2.0


### run-rus


* source group: Rundi
* target group: Russian
* OPUS readme: [run-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md)
* model: transformer-align
* source language(s): run
* target language(s): rus
* 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/run-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.run.rus 	| 17.1 	| 0.321 |


### System Info:


- hf_name: run-rus
- source_languages: run
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/run-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['rn', 'ru']
- src_constituents: {'run'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/run-rus/opus-2020-06-16.test.txt
- src_alpha3: run
- tgt_alpha3: rus
- short_pair: rn-ru
- chrF2_score: 0.321
- bleu: 17.1
- brevity_penalty: 1.0
- ref_len: 6635.0
- src_name: Rundi
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: rn
- tgt_alpha2: ru
- prefer_old: False
- long_pair: run-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-rn-ru


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, rn, ru, transformers, translation, license:apache-2.0, autonlp_compatible


- lt
- ru


tags:


### lit-rus


* source group: Lithuanian
* target group: Russian
* OPUS readme: [lit-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): rus
* 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/lit-rus/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.rus 	| 51.7 	| 0.695 |


- hf_name: lit-rus
- source_languages: lit
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'ru']
- src_constituents: {'lit'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-rus/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: rus
- short_pair: lt-ru
- chrF2_score: 0.695
- bleu: 51.7
- brevity_penalty: 0.982
- ref_len: 15395.0
- src_name: Lithuanian
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: ru
- prefer_old: False
- long_pair: lit-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lt-ru


tags: pytorch, marian, text2text-generation, lt, ru, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-cy-en


* source languages: cy
* target languages: en
* OPUS readme: [cy-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/cy-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/cy-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.cy.en 	| 33.0 	| 0.525 |


model name: opus-mt-cy-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, cy, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-ht-fr


* source languages: ht
* target languages: fr
* OPUS readme: [ht-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ht-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/ht-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ht-fr/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.fr 	| 28.4 	| 0.469 |


model name: opus-mt-ht-fr


tags: pytorch, marian, text2text-generation, ht, fr, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-niu-fi


* source languages: niu
* target languages: fi
* OPUS readme: [niu-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/niu-fi/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/niu-fi/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/niu-fi/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.niu.fi 	| 24.8 	| 0.474 |


model name: opus-mt-niu-fi


tags: pytorch, marian, text2text-generation, niu, fi, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-yo-es


* source languages: yo
* target languages: es
* OPUS readme: [yo-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yo-es/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/yo-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yo-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yo.es 	| 22.0 	| 0.393 |


model name: opus-mt-yo-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, yo, es, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- en
- az


tags:


- translation


## license: apache-2.0


### eng-aze


* source group: English
* target group: Azerbaijani
* OPUS readme: [eng-aze](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md)
* model: transformer-align
* source language(s): eng
* target language(s): aze_Latn
* 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/eng-aze/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng.aze 	| 18.6 	| 0.477 |


### System Info:


- hf_name: eng-aze
- source_languages: eng
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'az']
- src_constituents: {'eng'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-aze/opus-2020-06-16.test.txt
- src_alpha3: eng
- tgt_alpha3: aze
- short_pair: en-az
- chrF2_score: 0.47700000000000004
- bleu: 18.6
- brevity_penalty: 1.0
- ref_len: 13012.0
- src_name: English
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: en
- tgt_alpha2: az
- prefer_old: False
- long_pair: eng-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-az


tags: pytorch, marian, text2text-generation, en, az, transformers, translation, license:apache-2.0, autonlp_compatible


- en
- pqw


### eng-pqw


* source group: English
* target group: Western Malayo-Polynesian languages
* OPUS readme: [eng-pqw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md)
* model: transformer
* source language(s): eng
* target language(s): akl_Latn ceb cha dtp hil iba ilo ind jav jav_Java mad max_Latn min mlg pag pau sun tmw_Latn war zlm_Latn zsm_Latn
* 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: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-akl.eng.akl 	| 3.0 	| 0.143 |
| Tatoeba-test.eng-ceb.eng.ceb 	| 11.4 	| 0.432 |
| Tatoeba-test.eng-cha.eng.cha 	| 1.4 	| 0.189 |
| Tatoeba-test.eng-dtp.eng.dtp 	| 0.6 	| 0.139 |
| Tatoeba-test.eng-hil.eng.hil 	| 17.7 	| 0.525 |
| Tatoeba-test.eng-iba.eng.iba 	| 14.6 	| 0.365 |
| Tatoeba-test.eng-ilo.eng.ilo 	| 34.0 	| 0.590 |
| Tatoeba-test.eng-jav.eng.jav 	| 6.2 	| 0.299 |
| Tatoeba-test.eng-mad.eng.mad 	| 2.6 	| 0.154 |
| Tatoeba-test.eng-mlg.eng.mlg 	| 34.3 	| 0.518 |
| Tatoeba-test.eng-msa.eng.msa 	| 31.1 	| 0.561 |
| Tatoeba-test.eng.multi 	| 17.5 	| 0.422 |
| Tatoeba-test.eng-pag.eng.pag 	| 19.8 	| 0.507 |
| Tatoeba-test.eng-pau.eng.pau 	| 1.2 	| 0.129 |
| Tatoeba-test.eng-sun.eng.sun 	| 30.3 	| 0.418 |
| Tatoeba-test.eng-war.eng.war 	| 12.6 	| 0.439 |


- hf_name: eng-pqw
- source_languages: eng
- target_languages: pqw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-pqw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pqw']
- src_constituents: {'eng'}
- tgt_constituents: set()
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-pqw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: pqw
- short_pair: en-pqw
- chrF2_score: 0.42200000000000004
- bleu: 17.5
- brevity_penalty: 1.0
- ref_len: 66758.0
- src_name: English
- tgt_name: Western Malayo-Polynesian languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: pqw
- prefer_old: False
- long_pair: eng-pqw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-pqw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, pqw, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### 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 |


model name: opus-mt-fr-lg


tags: pytorch, marian, text2text-generation, fr, lg, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-kwn-en


* source languages: kwn
* target languages: en
* OPUS readme: [kwn-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kwn-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/kwn-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kwn-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kwn.en 	| 27.5 	| 0.434 |


model name: opus-mt-kwn-en


tags: pytorch, marian, text2text-generation, kwn, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-pl-sv


* source languages: pl
* target languages: sv
* OPUS readme: [pl-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pl-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/pl-sv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pl-sv/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.pl.sv 	| 58.9 	| 0.717 |


model name: opus-mt-pl-sv


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, pl, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-sq-sv


* source languages: sq
* target languages: sv
* OPUS readme: [sq-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sq-sv/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/sq-sv/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sq-sv/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sq.sv 	| 36.2 	| 0.559 |


model name: opus-mt-sq-sv


tags: pytorch, marian, text2text-generation, sq, sv, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-ty


* source languages: sv
* target languages: ty
* OPUS readme: [sv-ty](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-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/sv-ty/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ty/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-ty/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ty 	| 40.5 	| 0.571 |


model name: opus-mt-sv-ty


tags: pytorch, marian, text2text-generation, sv, ty, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-sv-niu


* source languages: sv
* target languages: niu
* OPUS readme: [sv-niu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-niu/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/sv-niu/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-niu/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-niu/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.niu 	| 37.0 	| 0.575 |


model name: opus-mt-sv-niu


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sv, niu, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- cs
- uk


tags:


- translation


## license: apache-2.0


### ces-ukr


* source group: Czech
* target group: Ukrainian
* OPUS readme: [ces-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md)
* model: transformer-align
* source language(s): ces
* target language(s): ukr
* 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/ces-ukr/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ces.ukr 	| 50.9 	| 0.680 |


### System Info:


- hf_name: ces-ukr
- source_languages: ces
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ces-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['cs', 'uk']
- src_constituents: {'ces'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ces-ukr/opus-2020-06-17.test.txt
- src_alpha3: ces
- tgt_alpha3: ukr
- short_pair: cs-uk
- chrF2_score: 0.68
- bleu: 50.9
- brevity_penalty: 0.9940000000000001
- ref_len: 8891.0
- src_name: Czech
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: cs
- tgt_alpha2: uk
- prefer_old: False
- long_pair: ces-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cs-uk


tags: pytorch, marian, text2text-generation, cs, uk, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fi-es


* source languages: fi
* target languages: es
* OPUS readme: [fi-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-12.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.zip)
* test set translations: [opus-2020-04-12.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.test.txt)
* test set scores: [opus-2020-04-12.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-es/opus-2020-04-12.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.es 	| 51.5 	| 0.700 |


model name: opus-mt-fi-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-fi-sw


* source languages: fi
* target languages: sw
* OPUS readme: [fi-sw](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-sw/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-sw/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sw/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-sw/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sw 	| 29.9 	| 0.548 |


model name: opus-mt-fi-sw


tags: pytorch, marian, text2text-generation, fi, sw, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-gaa-fi


* source languages: gaa
* target languages: fi
* OPUS readme: [gaa-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/gaa-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/gaa-fi/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/gaa-fi/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.fi 	| 26.4 	| 0.498 |


model name: opus-mt-gaa-fi


tags: pytorch, marian, text2text-generation, gaa, fi, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-ml-en


* source languages: ml
* target languages: en
* OPUS readme: [ml-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ml-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.zip)
* test set translations: [opus-2020-04-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.test.txt)
* test set scores: [opus-2020-04-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ml-en/opus-2020-04-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ml.en 	| 42.7 	| 0.605 |


model name: opus-mt-ml-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ml, en, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-pon-en


* source languages: pon
* target languages: en
* OPUS readme: [pon-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/pon-en/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/pon-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/pon-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.en 	| 34.1 	| 0.489 |


model name: opus-mt-pon-en


tags: pytorch, marian, text2text-generation, pon, en, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- vi
- de


- translation


## license: apache-2.0


### vie-deu


* source group: Vietnamese
* target group: German
* OPUS readme: [vie-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md)
* model: transformer-align
* source language(s): vie
* target language(s): deu
* 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/vie-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.deu 	| 27.6 	| 0.484 |


### System Info:


- hf_name: vie-deu
- source_languages: vie
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'de']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-deu/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: deu
- short_pair: vi-de
- chrF2_score: 0.484
- bleu: 27.6
- brevity_penalty: 0.958
- ref_len: 3365.0
- src_name: Vietnamese
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: de
- prefer_old: False
- long_pair: vie-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, vi, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-el-sv


* source languages: el
* target languages: sv
* OPUS readme: [el-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/el-sv/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/el-sv/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.el.sv 	| 23.6 	| 0.498 |


model name: opus-mt-el-sv


tags: pytorch, marian, text2text-generation, el, sv, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- es
- no


- translation


## license: apache-2.0


### spa-nor


* source group: Spanish
* target group: Norwegian
* OPUS readme: [spa-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md)
* model: transformer-align
* source language(s): spa
* target language(s): nno nob
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* 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/spa-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.nor 	| 36.7 	| 0.565 |


### System Info:


- hf_name: spa-nor
- source_languages: spa
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'no']
- src_constituents: {'spa'}
- tgt_constituents: {'nob', 'nno'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-nor/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: nor
- short_pair: es-no
- chrF2_score: 0.565
- bleu: 36.7
- brevity_penalty: 0.99
- ref_len: 7217.0
- src_name: Spanish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: no
- prefer_old: False
- long_pair: spa-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-no


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, es, no, transformers, translation, license:apache-2.0, autonlp_compatible


- zh
- en


tags:


### zho-eng


* source group: Chinese
* target group: English
* OPUS readme: [zho-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-eng/README.md)
* model: transformer
* source language(s): cjy_Hans cjy_Hant cmn cmn_Hans cmn_Hant gan lzh lzh_Hans nan wuu yue yue_Hans yue_Hant
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.zip)
* test set translations: [opus-2020-07-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.test.txt)
* test set scores: [opus-2020-07-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.eng 	| 36.1 	| 0.548 |


- hf_name: zho-eng
- source_languages: zho
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'en']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-eng/opus-2020-07-17.test.txt
- src_alpha3: zho
- tgt_alpha3: eng
- short_pair: zh-en
- chrF2_score: 0.5479999999999999
- bleu: 36.1
- brevity_penalty: 0.948
- ref_len: 82826.0
- src_name: Chinese
- tgt_name: English
- train_date: 2020-07-17
- src_alpha2: zh
- tgt_alpha2: en
- prefer_old: False
- long_pair: zho-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-en


tags: pytorch, rust, marian, text2text-generation, zh, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-gil


* source languages: sv
* target languages: gil
* OPUS readme: [sv-gil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-gil/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/sv-gil/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gil/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-gil/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.gil 	| 28.9 	| 0.520 |


model name: opus-mt-sv-gil


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, sv, gil, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-de-nl


* source languages: de
* target languages: nl
* OPUS readme: [de-nl](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-nl/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/de-nl/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-nl/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.nl 	| 52.8 	| 0.699 |


model name: opus-mt-de-nl


tags: pytorch, marian, text2text-generation, de, nl, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- ar
- de


tags:


- translation


## license: apache-2.0


### ara-deu


* source group: Arabic
* target group: German
* OPUS readme: [ara-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-deu/README.md)
* model: transformer-align
* source language(s): afb apc ara ara_Latn arq arz
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.deu 	| 44.7 	| 0.629 |


### System Info:


- hf_name: ara-deu
- source_languages: ara
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'de']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-deu/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: deu
- short_pair: ar-de
- chrF2_score: 0.629
- bleu: 44.7
- brevity_penalty: 0.986
- ref_len: 8371.0
- src_name: Arabic
- tgt_name: German
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: de
- prefer_old: False
- long_pair: ara-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-de


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, ar, de, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-zai-es


* source languages: zai
* target languages: es
* OPUS readme: [zai-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/zai-es/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/zai-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/zai-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/zai-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.zai.es 	| 20.8 	| 0.372 |


model name: opus-mt-zai-es


tags: pytorch, marian, text2text-generation, zai, es, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-en-ber


* source languages: en
* target languages: ber
* OPUS readme: [en-ber](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ber/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ber/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ber 	| 29.7 	| 0.544 |


model name: opus-mt-en-ber


tags: pytorch, marian, text2text-generation, en, ber, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-et


* source languages: fi
* target languages: et
* OPUS readme: [fi-et](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-et/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-et/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.et 	| 25.2 	| 0.519 |


model name: opus-mt-fi-et


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, et, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fi-tiv


* source languages: fi
* target languages: tiv
* OPUS readme: [fi-tiv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-tiv/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/fi-tiv/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-tiv/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tiv 	| 23.6 	| 0.425 |


model name: opus-mt-fi-tiv


tags: pytorch, marian, text2text-generation, fi, tiv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### 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 |


model name: opus-mt-fr-el


tags: pytorch, marian, text2text-generation, fr, el, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-fi-hr


* source languages: fi
* target languages: hr
* OPUS readme: [fi-hr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hr/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.hr 	| 23.5 	| 0.476 |


model name: opus-mt-fi-hr


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fi, hr, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-en-crs


* source languages: en
* target languages: crs
* OPUS readme: [en-crs](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-crs/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-08.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-crs/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.crs 	| 45.2 	| 0.617 |


model name: opus-mt-en-crs


tags: pytorch, marian, text2text-generation, en, crs, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-yap-en


* source languages: yap
* target languages: en
* OPUS readme: [yap-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/yap-en/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/yap-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/yap-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yap.en 	| 30.2 	| 0.452 |


model name: opus-mt-yap-en


tags: pytorch, marian, text2text-generation, yap, en, transformers, translation, license:apache-2.0, autonlp_compatible


### 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)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.af 	| 36.0 	| 0.546 |


model name: opus-mt-fr-af


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, fr, af, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-kg-sv


* source languages: kg
* target languages: sv
* OPUS readme: [kg-sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/kg-sv/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/kg-sv/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/kg-sv/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kg.sv 	| 26.3 	| 0.440 |


model name: opus-mt-kg-sv


tags: pytorch, marian, text2text-generation, kg, sv, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-en-ro


* source languages: en
* target languages: ro
* OPUS readme: [en-ro](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ro/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ro/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro.en.ro 	| 30.8 	| 0.592 |
| newstest2016-enro.en.ro 	| 28.8 	| 0.571 |
| Tatoeba.en.ro 	| 45.3 	| 0.670 |


model name: opus-mt-en-ro


tags: pytorch, marian, text2text-generation, en, ro, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-id-es


* source languages: id
* target languages: es
* OPUS readme: [id-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-es/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/id-es/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-es/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.id.es 	| 21.8 	| 0.483 |


model name: opus-mt-id-es


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, id, es, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-sv-to


* source languages: sv
* target languages: to
* OPUS readme: [sv-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-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/sv-to/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-to/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.to 	| 41.8 	| 0.564 |


model name: opus-mt-sv-to


tags: pytorch, marian, text2text-generation, sv, to, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-umb-en


* source languages: umb
* target languages: en
* OPUS readme: [umb-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/umb-en/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/umb-en/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/umb-en/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.umb.en 	| 27.5 	| 0.425 |


model name: opus-mt-umb-en


tags: pytorch, marian, text2text-generation, umb, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-bg-en


* source languages: bg
* target languages: en
* OPUS readme: [bg-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/bg-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.bg.en 	| 59.4 	| 0.727 |


model name: opus-mt-bg-en


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, bg, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-de-de


* source languages: de
* target languages: de
* OPUS readme: [de-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-de/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/de-de/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-de/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.de 	| 40.7 	| 0.616 |


model name: opus-mt-de-de


tags: pytorch, marian, text2text-generation, de, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


### opus-mt-id-fr


* source languages: id
* target languages: fr
* OPUS readme: [id-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/id-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/id-fr/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fr/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/id-fr/opus-2020-01-09.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.id.fr 	| 43.8 	| 0.616 |


model name: opus-mt-id-fr


tags: pytorch, marian, text2text-generation, id, fr, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-en-kj


* source languages: en
* target languages: kj
* OPUS readme: [en-kj](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kj/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/en-kj/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kj/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.kj 	| 29.6 	| 0.539 |


model name: opus-mt-en-kj


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, kj, transformers, translation, license:apache-2.0, autonlp_compatible


language:


- it
- ca
- rm
- es
- ro
- gl
- sc
- co
- wa
- pt
- oc
- an
- id
- fr
- ht
- itc
- en


- translation


## license: apache-2.0


### itc-eng


* source group: Italic languages
* target group: English
* OPUS readme: [itc-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/itc-eng/README.md)
* model: transformer
* source language(s): arg ast cat cos egl ext fra frm_Latn gcf_Latn glg hat ind ita lad lad_Latn lat_Latn lij lld_Latn lmo max_Latn mfe min mwl oci pap pms por roh ron scn spa tmw_Latn vec wln zlm_Latn zsm_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/itc-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-roneng.ron.eng 	| 36.5 	| 0.628 |
| newsdiscussdev2015-enfr-fraeng.fra.eng 	| 30.9 	| 0.561 |
| newsdiscusstest2015-enfr-fraeng.fra.eng 	| 35.5 	| 0.590 |
| newssyscomb2009-fraeng.fra.eng 	| 29.2 	| 0.560 |
| newssyscomb2009-itaeng.ita.eng 	| 32.2 	| 0.583 |
| newssyscomb2009-spaeng.spa.eng 	| 29.3 	| 0.563 |
| news-test2008-fraeng.fra.eng 	| 25.2 	| 0.531 |
| news-test2008-spaeng.spa.eng 	| 26.3 	| 0.539 |
| newstest2009-fraeng.fra.eng 	| 28.5 	| 0.555 |
| newstest2009-itaeng.ita.eng 	| 31.6 	| 0.578 |
| newstest2009-spaeng.spa.eng 	| 28.7 	| 0.558 |
| newstest2010-fraeng.fra.eng 	| 29.7 	| 0.571 |
| newstest2010-spaeng.spa.eng 	| 32.8 	| 0.593 |
| newstest2011-fraeng.fra.eng 	| 30.9 	| 0.580 |
| newstest2011-spaeng.spa.eng 	| 31.8 	| 0.582 |
| newstest2012-fraeng.fra.eng 	| 31.1 	| 0.576 |
| newstest2012-spaeng.spa.eng 	| 35.0 	| 0.604 |
| newstest2013-fraeng.fra.eng 	| 31.7 	| 0.573 |
| newstest2013-spaeng.spa.eng 	| 32.4 	| 0.589 |
| newstest2014-fren-fraeng.fra.eng 	| 34.0 	| 0.606 |
| newstest2016-enro-roneng.ron.eng 	| 34.8 	| 0.608 |
| Tatoeba-test.arg-eng.arg.eng 	| 41.5 	| 0.528 |
| Tatoeba-test.ast-eng.ast.eng 	| 36.0 	| 0.519 |
| Tatoeba-test.cat-eng.cat.eng 	| 53.7 	| 0.696 |
| Tatoeba-test.cos-eng.cos.eng 	| 56.5 	| 0.640 |
| Tatoeba-test.egl-eng.egl.eng 	| 4.6 	| 0.217 |
| Tatoeba-test.ext-eng.ext.eng 	| 39.1 	| 0.547 |
| Tatoeba-test.fra-eng.fra.eng 	| 53.4 	| 0.688 |
| Tatoeba-test.frm-eng.frm.eng 	| 22.3 	| 0.409 |
| Tatoeba-test.gcf-eng.gcf.eng 	| 18.7 	| 0.308 |
| Tatoeba-test.glg-eng.glg.eng 	| 54.8 	| 0.701 |
| Tatoeba-test.hat-eng.hat.eng 	| 42.6 	| 0.583 |
| Tatoeba-test.ita-eng.ita.eng 	| 64.8 	| 0.767 |
| Tatoeba-test.lad-eng.lad.eng 	| 14.4 	| 0.433 |
| Tatoeba-test.lat-eng.lat.eng 	| 19.5 	| 0.390 |
| Tatoeba-test.lij-eng.lij.eng 	| 8.9 	| 0.280 |
| Tatoeba-test.lld-eng.lld.eng 	| 17.4 	| 0.331 |
| Tatoeba-test.lmo-eng.lmo.eng 	| 10.8 	| 0.306 |
| Tatoeba-test.mfe-eng.mfe.eng 	| 66.0 	| 0.820 |
| Tatoeba-test.msa-eng.msa.eng 	| 40.8 	| 0.590 |
| Tatoeba-test.multi.eng 	| 47.6 	| 0.634 |
| Tatoeba-test.mwl-eng.mwl.eng 	| 41.3 	| 0.707 |
| Tatoeba-test.oci-eng.oci.eng 	| 20.3 	| 0.401 |
| Tatoeba-test.pap-eng.pap.eng 	| 53.9 	| 0.642 |
| Tatoeba-test.pms-eng.pms.eng 	| 12.2 	| 0.334 |
| Tatoeba-test.por-eng.por.eng 	| 59.3 	| 0.734 |
| Tatoeba-test.roh-eng.roh.eng 	| 17.7 	| 0.420 |
| Tatoeba-test.ron-eng.ron.eng 	| 54.5 	| 0.697 |
| Tatoeba-test.scn-eng.scn.eng 	| 40.0 	| 0.443 |
| Tatoeba-test.spa-eng.spa.eng 	| 55.9 	| 0.712 |
| Tatoeba-test.vec-eng.vec.eng 	| 11.2 	| 0.304 |
| Tatoeba-test.wln-eng.wln.eng 	| 20.9 	| 0.360 |


### System Info: