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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.gil 	| 24.0 	| 0.472 |


model name: opus-mt-de-gil


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-crs-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.crs.de 	| 20.4 	| 0.397 |


model name: opus-mt-crs-de


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


language:


- he
- uk


- translation


## license: apache-2.0


### heb-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ukr 	| 35.4 	| 0.552 |


### System Info:


- hf_name: heb-ukr
- source_languages: heb
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'uk']
- src_constituents: {'heb'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ukr/opus-2020-06-17.test.txt
- src_alpha3: heb
- tgt_alpha3: ukr
- short_pair: he-uk
- chrF2_score: 0.552
- bleu: 35.4
- brevity_penalty: 0.971
- ref_len: 5163.0
- src_name: Hebrew
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: he
- tgt_alpha2: uk
- prefer_old: False
- long_pair: heb-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-he-uk


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-hr-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hr.sv 	| 30.5 	| 0.526 |


model name: opus-mt-hr-sv


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


### opus-mt-es-srn


* source languages: es
* target languages: srn
* OPUS readme: [es-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-srn/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.srn 	| 28.7 	| 0.487 |


model name: opus-mt-es-srn


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


### opus-mt-sv-war


* source languages: sv
* target languages: war
* OPUS readme: [sv-war](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-war/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-war/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.war 	| 36.7 	| 0.576 |


model name: opus-mt-sv-war


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-swc-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.swc.fi 	| 26.0 	| 0.489 |


model name: opus-mt-swc-fi


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


### opus-mt-fr-swc


* source languages: fr
* target languages: swc
* OPUS readme: [fr-swc](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-swc/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-swc/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.swc 	| 28.2 	| 0.499 |


model name: opus-mt-fr-swc


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


### opus-mt-fr-srn


* source languages: fr
* target languages: srn
* OPUS readme: [fr-srn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-srn/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-srn/opus-2020-01-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.srn 	| 27.4 	| 0.459 |


model name: opus-mt-fr-srn


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fj-en


* source languages: fj
* target languages: en
* OPUS readme: [fj-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fj-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fj-en/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fj.en 	| 31.0 	| 0.471 |
| Tatoeba.fj.en 	| 79.7 	| 0.835 |


model name: opus-mt-fj-en


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


language:


- ka
- en


- translation


## license: apache-2.0


### kat-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.eng 	| 37.9 	| 0.538 |


### System Info:


- hf_name: kat-eng
- source_languages: kat
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'en']
- src_constituents: {'kat'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-eng/opus-2020-06-16.test.txt
- src_alpha3: kat
- tgt_alpha3: eng
- short_pair: ka-en
- chrF2_score: 0.5379999999999999
- bleu: 37.9
- brevity_penalty: 0.991
- ref_len: 5992.0
- src_name: Georgian
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: ka
- tgt_alpha2: en
- prefer_old: False
- long_pair: kat-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ka-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-ee


* source languages: fr
* target languages: ee
* OPUS readme: [fr-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ee/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ee/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ee 	| 26.3 	| 0.466 |


model name: opus-mt-fr-ee


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


### opus-mt-lue-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.fr 	| 24.1 	| 0.407 |


model name: opus-mt-lue-fr


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


### opus-mt-en-efi


* source languages: en
* target languages: efi
* OPUS readme: [en-efi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-efi/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-efi/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.efi 	| 38.0 	| 0.568 |


model name: opus-mt-en-efi


model author: Helsinki-NLP


task: translation


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


language:


- pt
- uk


tags:


- translation


## license: apache-2.0


### por-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.ukr 	| 39.8 	| 0.616 |


### System Info:


- hf_name: por-ukr
- source_languages: por
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'uk']
- src_constituents: {'por'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-ukr/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: ukr
- short_pair: pt-uk
- chrF2_score: 0.616
- bleu: 39.8
- brevity_penalty: 0.9990000000000001
- ref_len: 18933.0
- src_name: Portuguese
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: uk
- prefer_old: False
- long_pair: por-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pt-uk


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


- translation
license: apache-2.0


### opus-mt-en-nyk


* source languages: en
* target languages: nyk
* OPUS readme: [en-nyk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-nyk/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-nyk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-nyk/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.nyk 	| 26.6 	| 0.511 |


model name: opus-mt-en-nyk


model author: Helsinki-NLP


task: translation


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


language:


- no
- fi


tags:


- translation


## license: apache-2.0


### nor-fin


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.fin 	| 14.1 	| 0.374 |


### System Info:


- hf_name: nor-fin
- source_languages: nor
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'fi']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-fin/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: fin
- short_pair: no-fi
- chrF2_score: 0.374
- bleu: 14.1
- brevity_penalty: 0.894
- ref_len: 13066.0
- src_name: Norwegian
- tgt_name: Finnish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: fi
- prefer_old: False
- long_pair: nor-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-fi


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


- translation
license: apache-2.0


### opus-mt-tll-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.fi 	| 22.4 	| 0.441 |


model name: opus-mt-tll-fi


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-en-bem


* source languages: en
* target languages: bem
* OPUS readme: [en-bem](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-bem/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-bem/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bem/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.bem 	| 29.7 	| 0.532 |


model name: opus-mt-en-bem


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


### opus-mt-en-ceb


* source languages: en
* target languages: ceb
* OPUS readme: [en-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ceb/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-ceb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ceb/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ceb 	| 51.3 	| 0.704 |
| Tatoeba.en.ceb 	| 31.3 	| 0.600 |


model name: opus-mt-en-ceb


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


language:


- tr
- eo


- translation


## license: apache-2.0


### tur-epo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.epo 	| 17.0 	| 0.373 |


### System Info:


- hf_name: tur-epo
- source_languages: tur
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'eo']
- src_constituents: {'tur'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-epo/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: epo
- short_pair: tr-eo
- chrF2_score: 0.373
- bleu: 17.0
- brevity_penalty: 0.8809999999999999
- ref_len: 33762.0
- src_name: Turkish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: eo
- prefer_old: False
- long_pair: tur-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tr-eo


model author: Helsinki-NLP


task: translation


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


- zh
- bg


tags:


### zho-bul


* source group: Chinese
* target group: Bulgarian
* OPUS readme: [zho-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-bul/README.md)
* model: transformer
* source language(s): cmn cmn_Hans cmn_Hant zho zho_Hans zho_Hant
* target language(s): bul
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-bul/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cmn_Hani.bul 	| 29.6 	| 0.497 |
| Tatoeba-test.zho.bul 	| 29.6 	| 0.497 |


- hf_name: zho-bul
- source_languages: zho
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'bg']
- 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: {'bul', 'bul_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-bul/opus-2020-07-03.test.txt
- src_alpha3: zho
- tgt_alpha3: bul
- short_pair: zh-bg
- chrF2_score: 0.49700000000000005
- bleu: 29.6
- brevity_penalty: 0.883
- ref_len: 3113.0
- src_name: Chinese
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: zh
- tgt_alpha2: bg
- prefer_old: False
- long_pair: zho-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-bg


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


- translation
license: apache-2.0


### opus-mt-ig-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.es 	| 24.6 	| 0.420 |


model name: opus-mt-ig-es


model author: Helsinki-NLP


task: translation


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


language:


- it
- lt


tags:


- translation


## license: apache-2.0


### ita-lit


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.lit 	| 38.1 	| 0.652 |


### System Info:


- hf_name: ita-lit
- source_languages: ita
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'lt']
- src_constituents: {'ita'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-lit/opus-2020-06-17.test.txt
- src_alpha3: ita
- tgt_alpha3: lit
- short_pair: it-lt
- chrF2_score: 0.652
- bleu: 38.1
- brevity_penalty: 0.9590000000000001
- ref_len: 1321.0
- src_name: Italian
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: it
- tgt_alpha2: lt
- prefer_old: False
- long_pair: ita-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-lt


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


- translation
license: apache-2.0


### opus-mt-sn-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sn.en 	| 51.8 	| 0.648 |


model name: opus-mt-sn-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-de-pis


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.pis 	| 26.0 	| 0.470 |


model name: opus-mt-de-pis


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


### opus-mt-es-id


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.es.id 	| 21.1 	| 0.516 |


model name: opus-mt-es-id


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


- translation
license: apache-2.0


### opus-mt-fi-uk


* source languages: fi
* target languages: uk
* OPUS readme: [fi-uk](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-uk/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-uk/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-uk/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-uk/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.uk 	| 23.3 	| 0.445 |


model name: opus-mt-fi-uk


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-sv-ha


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ha 	| 26.2 	| 0.481 |


model name: opus-mt-sv-ha


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


### opus-mt-fr-hil


* source languages: fr
* target languages: hil
* OPUS readme: [fr-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hil/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.hil 	| 34.7 	| 0.559 |


model name: opus-mt-fr-hil


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


language:


- war
- en


- translation


## license: apache-2.0


### war-eng


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.war.eng 	| 12.3 	| 0.308 |


### System Info:


- hf_name: war-eng
- source_languages: war
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/war-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['war', 'en']
- src_constituents: {'war'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/war-eng/opus-2020-06-16.test.txt
- src_alpha3: war
- tgt_alpha3: eng
- short_pair: war-en
- chrF2_score: 0.308
- bleu: 12.3
- brevity_penalty: 1.0
- ref_len: 11345.0
- src_name: Waray (Philippines)
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: war
- tgt_alpha2: en
- prefer_old: False
- long_pair: war-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-war-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-vsl-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.vsl.es 	| 91.9 	| 0.944 |


model name: opus-mt-vsl-es


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


### opus-mt-es-crs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.crs 	| 26.4 	| 0.453 |


model name: opus-mt-es-crs


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


language:


- es
- uk


- translation


## license: apache-2.0


### spa-ukr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.ukr 	| 41.3 	| 0.614 |


### System Info:


- hf_name: spa-ukr
- source_languages: spa
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'uk']
- src_constituents: {'spa'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-ukr/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: ukr
- short_pair: es-uk
- chrF2_score: 0.614
- bleu: 41.3
- brevity_penalty: 0.983
- ref_len: 53833.0
- src_name: Spanish
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: uk
- prefer_old: False
- long_pair: spa-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-uk


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-to


* source languages: fr
* target languages: to
* OPUS readme: [fr-to](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-to/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-to/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.to 	| 37.0 	| 0.518 |


model name: opus-mt-fr-to


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


language:


- eo
- fi


- translation


## license: apache-2.0


### epo-fin


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.fin 	| 15.9 	| 0.371 |


### System Info:


- hf_name: epo-fin
- source_languages: epo
- target_languages: fin
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-fin/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'fi']
- src_constituents: {'epo'}
- tgt_constituents: {'fin'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-fin/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: fin
- short_pair: eo-fi
- chrF2_score: 0.371
- bleu: 15.9
- brevity_penalty: 0.894
- ref_len: 15881.0
- src_name: Esperanto
- tgt_name: Finnish
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: fi
- prefer_old: False
- long_pair: epo-fin
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-fi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-da


* source languages: en
* target languages: da
* OPUS readme: [en-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-da/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-da/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-da/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.da 	| 60.4 	| 0.745 |


model name: opus-mt-en-da


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


language:


- bg
- eo


- translation


## license: apache-2.0


### bul-epo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul.epo 	| 24.5 	| 0.438 |


### System Info:


- hf_name: bul-epo
- source_languages: bul
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bul-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bg', 'eo']
- src_constituents: {'bul', 'bul_Latn'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bul-epo/opus-2020-06-16.test.txt
- src_alpha3: bul
- tgt_alpha3: epo
- short_pair: bg-eo
- chrF2_score: 0.43799999999999994
- bleu: 24.5
- brevity_penalty: 0.9670000000000001
- ref_len: 4043.0
- src_name: Bulgarian
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: bg
- tgt_alpha2: eo
- prefer_old: False
- long_pair: bul-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-bg-eo


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-ceb


* source languages: fi
* target languages: ceb
* OPUS readme: [fi-ceb](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-ceb/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-ceb/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-ceb/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ceb 	| 35.1 	| 0.581 |


model name: opus-mt-fi-ceb


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


### opus-mt-en-ee


* source languages: en
* target languages: ee
* OPUS readme: [en-ee](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-ee/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-ee/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-ee/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.ee 	| 38.2 	| 0.591 |
| Tatoeba.en.ee 	| 6.0 	| 0.347 |


model name: opus-mt-en-ee


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


language:


- eo
- el


- translation


## license: apache-2.0


### epo-ell


* source group: Esperanto
* target group: Modern Greek (1453-)
* OPUS readme: [epo-ell](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md)
* model: transformer-align
* source language(s): epo
* target language(s): ell
* 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/epo-ell/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.ell 	| 23.2 	| 0.438 |


### System Info:


- hf_name: epo-ell
- source_languages: epo
- target_languages: ell
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-ell/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'el']
- src_constituents: {'epo'}
- tgt_constituents: {'ell'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-ell/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: ell
- short_pair: eo-el
- chrF2_score: 0.43799999999999994
- bleu: 23.2
- brevity_penalty: 0.9159999999999999
- ref_len: 3892.0
- src_name: Esperanto
- tgt_name: Modern Greek (1453-)
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: el
- prefer_old: False
- long_pair: epo-ell
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-el


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ha-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ha.es 	| 21.8 	| 0.394 |


model name: opus-mt-ha-es


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


language:


- ru
- hy


- translation


## license: apache-2.0


### rus-hye


* source group: Russian
* target group: Armenian
* OPUS readme: [rus-hye](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md)
* model: transformer-align
* source language(s): rus
* target language(s): hye hye_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.hye 	| 21.7 	| 0.494 |


### System Info:


- hf_name: rus-hye
- source_languages: rus
- target_languages: hye
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-hye/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'hy']
- src_constituents: {'rus'}
- tgt_constituents: {'hye', 'hye_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-hye/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: hye
- short_pair: ru-hy
- chrF2_score: 0.494
- bleu: 21.7
- brevity_penalty: 1.0
- ref_len: 1602.0
- src_name: Russian
- tgt_name: Armenian
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: hy
- prefer_old: False
- long_pair: rus-hye
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-hy


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-kqn


* source languages: en
* target languages: kqn
* OPUS readme: [en-kqn](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en-kqn/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-kqn/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-kqn/opus-2020-01-08.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.kqn 	| 33.1 	| 0.567 |


model name: opus-mt-en-kqn


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


### opus-mt-de-kg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.kg 	| 24.4 	| 0.474 |


model name: opus-mt-de-kg


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


### opus-mt-fr-lua


* source languages: fr
* target languages: lua
* OPUS readme: [fr-lua](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-lua/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-09.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.zip)
* test set translations: [opus-2020-01-09.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.test.txt)
* test set scores: [opus-2020-01-09.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-lua/opus-2020-01-09.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lua 	| 27.3 	| 0.496 |


model name: opus-mt-fr-lua


model author: Helsinki-NLP


task: translation


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


language:


- ja
- ru


tags:


- translation


## license: apache-2.0


### jpn-rus


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.rus 	| 23.2 	| 0.441 |


### System Info:


- hf_name: jpn-rus
- source_languages: jpn
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ru']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-rus/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: rus
- short_pair: ja-ru
- chrF2_score: 0.441
- bleu: 23.2
- brevity_penalty: 0.9740000000000001
- ref_len: 70820.0
- src_name: Japanese
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ru
- prefer_old: False
- long_pair: jpn-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-ru


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


- translation
license: apache-2.0


### opus-mt-sv-en


* source languages: sv
* target languages: en
* OPUS readme: [sv-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-en/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.sv.en 	| 64.5 	| 0.763 |


model name: opus-mt-sv-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-hu-en


* source languages: hu
* target languages: en
* OPUS readme: [hu-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/hu-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/hu-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/hu-en/opus-2019-12-18.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.en 	| 52.9 	| 0.683 |


model name: opus-mt-hu-en


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


language:


- el
- eo


- translation


## license: apache-2.0


### ell-epo


* source group: Modern Greek (1453-)
* target group: Esperanto
* OPUS readme: [ell-epo](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md)
* model: transformer-align
* source language(s): ell
* 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/ell-epo/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell.epo 	| 32.4 	| 0.517 |


### System Info:


- hf_name: ell-epo
- source_languages: ell
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ell-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'eo']
- src_constituents: {'ell'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ell-epo/opus-2020-06-16.test.txt
- src_alpha3: ell
- tgt_alpha3: epo
- short_pair: el-eo
- chrF2_score: 0.517
- bleu: 32.4
- brevity_penalty: 0.9790000000000001
- ref_len: 3807.0
- src_name: Modern Greek (1453-)
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: el
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ell-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-el-eo


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-gaa-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.en 	| 41.0 	| 0.567 |


model name: opus-mt-gaa-en


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


### opus-mt-fi-fr


* source languages: fi
* target languages: fr
* OPUS readme: [fi-fr](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-fr/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.zip)
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.test.txt)
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.fr 	| 50.7 	| 0.670 |


model name: opus-mt-fi-fr


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


### opus-mt-de-bcl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.bcl 	| 34.6 	| 0.563 |


model name: opus-mt-de-bcl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-pag


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.pag 	| 25.3 	| 0.478 |


model name: opus-mt-es-pag


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


### opus-mt-crs-en


* source languages: crs
* target languages: en
* OPUS readme: [crs-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/crs-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/crs-en/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/crs-en/opus-2019-12-18.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.crs.en 	| 42.9 	| 0.589 |


model name: opus-mt-crs-en


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


### opus-mt-uk-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.uk.sv 	| 27.8 	| 0.474 |


model name: opus-mt-uk-sv


model author: Helsinki-NLP


task: translation


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


language:


- da
- no


tags:


- translation


## license: apache-2.0


### dan-nor


* source group: Danish
* target group: Norwegian
* OPUS readme: [dan-nor](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md)
* model: transformer-align
* source language(s): dan
* 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/dan-nor/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.nor 	| 66.4 	| 0.801 |


### System Info:


- hf_name: dan-nor
- source_languages: dan
- target_languages: nor
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-nor/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'no']
- src_constituents: {'dan'}
- 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/dan-nor/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-nor/opus-2020-06-17.test.txt
- src_alpha3: dan
- tgt_alpha3: nor
- short_pair: da-no
- chrF2_score: 0.8009999999999999
- bleu: 66.4
- brevity_penalty: 0.996
- ref_len: 9691.0
- src_name: Danish
- tgt_name: Norwegian
- train_date: 2020-06-17
- src_alpha2: da
- tgt_alpha2: no
- prefer_old: False
- long_pair: dan-nor
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-da-no


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


- hr
- mk
- bg
- sl
- zls


### zls-zls


* source group: South Slavic languages
* target group: South Slavic languages
* OPUS readme: [zls-zls](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-zls/README.md)
* model: transformer
* source language(s): bul mkd srp_Cyrl
* target language(s): bul mkd srp_Cyrl
* 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-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul-hbs.bul.hbs 	| 19.3 	| 0.514 |
| Tatoeba-test.bul-mkd.bul.mkd 	| 31.9 	| 0.669 |
| Tatoeba-test.hbs-bul.hbs.bul 	| 18.0 	| 0.636 |
| Tatoeba-test.hbs-mkd.hbs.mkd 	| 19.4 	| 0.322 |
| Tatoeba-test.mkd-bul.mkd.bul 	| 44.6 	| 0.679 |
| Tatoeba-test.mkd-hbs.mkd.hbs 	| 5.5 	| 0.152 |
| Tatoeba-test.multi.multi 	| 26.5 	| 0.563 |


- hf_name: zls-zls
- source_languages: zls
- target_languages: zls
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-zls/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hr', 'mk', 'bg', 'sl', 'zls']
- src_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- tgt_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-zls/opus-2020-07-27.test.txt
- src_alpha3: zls
- tgt_alpha3: zls
- short_pair: zls-zls
- chrF2_score: 0.563
- bleu: 26.5
- brevity_penalty: 1.0
- ref_len: 58.0
- src_name: South Slavic languages
- tgt_name: South Slavic languages
- train_date: 2020-07-27
- src_alpha2: zls
- tgt_alpha2: zls
- prefer_old: False
- long_pair: zls-zls
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zls-zls


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, hr, mk, bg, sl, zls, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-tw-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tw.es 	| 25.9 	| 0.441 |


model name: opus-mt-tw-es


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


### opus-mt-bg-fi


* source languages: bg
* target languages: fi
* OPUS readme: [bg-fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/bg-fi/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-fi/opus-2020-01-08.zip)
* test set translations: [opus-2020-01-08.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-fi/opus-2020-01-08.test.txt)
* test set scores: [opus-2020-01-08.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/bg-fi/opus-2020-01-08.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bg.fi 	| 23.7 	| 0.505 |


model name: opus-mt-bg-fi


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


### opus-mt-es-lua


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.lua 	| 23.4 	| 0.473 |


model name: opus-mt-es-lua


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ssp-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ssp.es 	| 89.7 	| 0.930 |


model name: opus-mt-ssp-es


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


### opus-mt-fi-de


* source languages: fi
* target languages: de
* OPUS readme: [fi-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-de/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2019-12-04.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.zip)
* test set translations: [opus-2019-12-04.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.test.txt)
* test set scores: [opus-2019-12-04.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-de/opus-2019-12-04.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.de 	| 45.2 	| 0.637 |


model name: opus-mt-fi-de


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


### opus-mt-es-zai


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.zai 	| 20.8 	| 0.426 |


model name: opus-mt-es-zai


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-pis-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.sv 	| 25.9 	| 0.442 |


model name: opus-mt-pis-sv


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


### opus-mt-mfs-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mfs.es 	| 88.9 	| 0.910 |


model name: opus-mt-mfs-es


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


### opus-mt-pap-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pap.fi 	| 27.7 	| 0.520 |


model name: opus-mt-pap-fi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ny-de


* source languages: ny
* target languages: de
* OPUS readme: [ny-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/ny-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/ny-de/opus-2020-01-21.zip)
* test set translations: [opus-2020-01-21.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.test.txt)
* test set scores: [opus-2020-01-21.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ny-de/opus-2020-01-21.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ny.de 	| 23.9 	| 0.440 |


model name: opus-mt-ny-de


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


language:


- ko
- ru


- translation


## license: apache-2.0


### kor-rus


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.rus 	| 30.3 	| 0.514 |


### System Info:


- hf_name: kor-rus
- source_languages: kor
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'ru']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-rus/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: rus
- short_pair: ko-ru
- chrF2_score: 0.514
- bleu: 30.3
- brevity_penalty: 0.961
- ref_len: 1382.0
- src_name: Korean
- tgt_name: Russian
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: ru
- prefer_old: False
- long_pair: kor-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-ru


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-bi-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.fr 	| 21.5 	| 0.382 |


model name: opus-mt-bi-fr


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


language:


- se
- fi
- hu
- et
- fiu


- translation


## license: apache-2.0


### fiu-fiu


* source group: Finno-Ugrian languages
* target group: Finno-Ugrian languages
* OPUS readme: [fiu-fiu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md)
* model: transformer
* source language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* target language(s): est fin fkv_Latn hun izh krl liv_Latn vep vro
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.est-est.est.est 	| 2.0 	| 0.252 |
| Tatoeba-test.est-fin.est.fin 	| 51.0 	| 0.704 |
| Tatoeba-test.est-fkv.est.fkv 	| 1.1 	| 0.211 |
| Tatoeba-test.est-vep.est.vep 	| 3.1 	| 0.272 |
| Tatoeba-test.fin-est.fin.est 	| 55.2 	| 0.722 |
| Tatoeba-test.fin-fkv.fin.fkv 	| 1.6 	| 0.207 |
| Tatoeba-test.fin-hun.fin.hun 	| 42.4 	| 0.663 |
| Tatoeba-test.fin-izh.fin.izh 	| 12.9 	| 0.509 |
| Tatoeba-test.fin-krl.fin.krl 	| 4.6 	| 0.292 |
| Tatoeba-test.fkv-est.fkv.est 	| 2.4 	| 0.148 |
| Tatoeba-test.fkv-fin.fkv.fin 	| 15.1 	| 0.427 |
| Tatoeba-test.fkv-liv.fkv.liv 	| 1.2 	| 0.261 |
| Tatoeba-test.fkv-vep.fkv.vep 	| 1.2 	| 0.233 |
| Tatoeba-test.hun-fin.hun.fin 	| 47.8 	| 0.681 |
| Tatoeba-test.izh-fin.izh.fin 	| 24.0 	| 0.615 |
| Tatoeba-test.izh-krl.izh.krl 	| 1.8 	| 0.114 |
| Tatoeba-test.krl-fin.krl.fin 	| 13.6 	| 0.407 |
| Tatoeba-test.krl-izh.krl.izh 	| 2.7 	| 0.096 |
| Tatoeba-test.liv-fkv.liv.fkv 	| 1.2 	| 0.164 |
| Tatoeba-test.liv-vep.liv.vep 	| 3.4 	| 0.181 |
| Tatoeba-test.multi.multi 	| 36.7 	| 0.581 |
| Tatoeba-test.vep-est.vep.est 	| 3.4 	| 0.251 |
| Tatoeba-test.vep-fkv.vep.fkv 	| 1.2 	| 0.215 |
| Tatoeba-test.vep-liv.vep.liv 	| 3.4 	| 0.179 |


### System Info:


- hf_name: fiu-fiu
- source_languages: fiu
- target_languages: fiu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fiu-fiu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['se', 'fi', 'hu', 'et', 'fiu']
- src_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- tgt_constituents: {'izh', 'mdf', 'vep', 'vro', 'sme', 'myv', 'fkv_Latn', 'krl', 'fin', 'hun', 'kpv', 'udm', 'liv_Latn', 'est', 'mhr', 'sma'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-fiu/opus-2020-07-26.test.txt
- src_alpha3: fiu
- tgt_alpha3: fiu
- short_pair: fiu-fiu
- chrF2_score: 0.581
- bleu: 36.7
- brevity_penalty: 0.981
- ref_len: 19444.0
- src_name: Finno-Ugrian languages
- tgt_name: Finno-Ugrian languages
- train_date: 2020-07-26
- src_alpha2: fiu
- tgt_alpha2: fiu
- prefer_old: False
- long_pair: fiu-fiu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fiu-fiu


model author: Helsinki-NLP


task: translation


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


- en
- lt
- lv
- bat


tags:


### eng-bat


* source group: English
* target group: Baltic languages
* OPUS readme: [eng-bat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md)
* model: transformer
* source language(s): eng
* target language(s): lav lit ltg prg_Latn sgs
* 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-bat/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2017-enlv-englav.eng.lav 	| 24.0 	| 0.546 |
| newsdev2019-enlt-englit.eng.lit 	| 20.9 	| 0.533 |
| newstest2017-enlv-englav.eng.lav 	| 18.3 	| 0.506 |
| newstest2019-enlt-englit.eng.lit 	| 13.6 	| 0.466 |
| Tatoeba-test.eng-lav.eng.lav 	| 42.8 	| 0.652 |
| Tatoeba-test.eng-lit.eng.lit 	| 37.1 	| 0.650 |
| Tatoeba-test.eng.multi 	| 37.0 	| 0.616 |
| Tatoeba-test.eng-prg.eng.prg 	| 0.5 	| 0.130 |
| Tatoeba-test.eng-sgs.eng.sgs 	| 4.1 	| 0.178 |


- hf_name: eng-bat
- source_languages: eng
- target_languages: bat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-bat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'lt', 'lv', 'bat']
- src_constituents: {'eng'}
- tgt_constituents: {'lit', 'lav', 'prg_Latn', 'ltg', 'sgs'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-bat/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: bat
- short_pair: en-bat
- chrF2_score: 0.616
- bleu: 37.0
- brevity_penalty: 0.956
- ref_len: 26417.0
- src_name: English
- tgt_name: Baltic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: bat
- prefer_old: False
- long_pair: eng-bat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-bat


tags: pytorch, marian, text2text-generation, en, lt, lv, bat, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-kqn-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.en 	| 32.6 	| 0.480 |


model name: opus-mt-kqn-en


model author: Helsinki-NLP


task: translation


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


### opus-mt-rw-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rw.en 	| 37.3 	| 0.530 |
| Tatoeba.rw.en 	| 49.8 	| 0.643 |


model name: opus-mt-rw-en


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


tags:


### opus-mt-ar-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ar.fr 	| 43.5 	| 0.602 |