## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.luo 	| 27.6 	| 0.495 |


model name: opus-mt-en-luo


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-chk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.chk 	| 26.1 	| 0.468 |


model name: opus-mt-en-chk


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


language:


- no
- es


- translation


## license: apache-2.0


### nor-spa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.spa 	| 34.2 	| 0.565 |


### System Info:


- hf_name: nor-spa
- source_languages: nor
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'es']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-spa/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: spa
- short_pair: no-es
- chrF2_score: 0.565
- bleu: 34.2
- brevity_penalty: 0.997
- ref_len: 7311.0
- src_name: Norwegian
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: es
- prefer_old: False
- long_pair: nor-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-hu-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.de 	| 44.1 	| 0.637 |


model name: opus-mt-hu-de


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


### opus-mt-es-csg


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.csg 	| 91.2 	| 0.937 |


model name: opus-mt-es-csg


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


language:


- bn
- or
- gu
- mr
- ur
- hi
- ps
- os
- as
- si
- iir


- translation


## license: apache-2.0


### iir-iir


* source group: Indo-Iranian languages
* target group: Indo-Iranian languages
* OPUS readme: [iir-iir](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README.md)
* model: transformer
* source language(s): asm hin mar urd zza
* target language(s): asm hin mar urd zza
* 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/iir-iir/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.asm-hin.asm.hin 	| 3.5 	| 0.202 |
| Tatoeba-test.asm-zza.asm.zza 	| 12.4 	| 0.014 |
| Tatoeba-test.hin-asm.hin.asm 	| 6.2 	| 0.238 |
| Tatoeba-test.hin-mar.hin.mar 	| 27.0 	| 0.560 |
| Tatoeba-test.hin-urd.hin.urd 	| 21.4 	| 0.507 |
| Tatoeba-test.mar-hin.mar.hin 	| 13.4 	| 0.463 |
| Tatoeba-test.multi.multi 	| 17.7 	| 0.460 |
| Tatoeba-test.urd-hin.urd.hin 	| 13.4 	| 0.363 |
| Tatoeba-test.zza-asm.zza.asm 	| 5.3 	| 0.000 |


### System Info:


- hf_name: iir-iir
- source_languages: iir
- target_languages: iir
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/iir-iir/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['bn', 'or', 'gu', 'mr', 'ur', 'hi', 'ps', 'os', 'as', 'si', 'iir']
- src_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}
- tgt_constituents: {'pnb', 'gom', 'ben', 'hif_Latn', 'ori', 'guj', 'pan_Guru', 'snd_Arab', 'npi', 'mar', 'urd', 'pes', 'bho', 'kur_Arab', 'tgk_Cyrl', 'hin', 'kur_Latn', 'pes_Thaa', 'pus', 'san_Deva', 'oss', 'tly_Latn', 'jdt_Cyrl', 'asm', 'zza', 'rom', 'mai', 'pes_Latn', 'awa', 'sin'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/iir-iir/opus-2020-07-27.test.txt
- src_alpha3: iir
- tgt_alpha3: iir
- short_pair: iir-iir
- chrF2_score: 0.46
- bleu: 17.7
- brevity_penalty: 1.0
- ref_len: 4992.0
- src_name: Indo-Iranian languages
- tgt_name: Indo-Iranian languages
- train_date: 2020-07-27
- src_alpha2: iir
- tgt_alpha2: iir
- prefer_old: False
- long_pair: iir-iir
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-iir-iir


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, bn, or, gu, mr, ur, hi, ps, os, as, si, iir, transformers, translation, license:apache-2.0, autonlp_compatible


- ja
- vi


tags:


### jpn-vie


* source group: Japanese
* target group: Vietnamese
* OPUS readme: [jpn-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md)
* model: transformer-align
* source language(s): jpn jpn_Bopo jpn_Hang jpn_Hani jpn_Hira jpn_Kana jpn_Latn jpn_Yiii
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.vie 	| 20.3 	| 0.380 |


- hf_name: jpn-vie
- source_languages: jpn
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'vi']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-vie/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: vie
- short_pair: ja-vi
- chrF2_score: 0.38
- bleu: 20.3
- brevity_penalty: 0.909
- ref_len: 10779.0
- src_name: Japanese
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: vi
- prefer_old: False
- long_pair: jpn-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-vi


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


language:


- en
- nl
- lb
- af
- de
- fy
- yi
- gmw


- translation


## license: apache-2.0


### eng-gmw


* source group: English
* target group: West Germanic languages
* OPUS readme: [eng-gmw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn deu enm_Latn frr fry gos gsw ksh ltz nds nld pdc sco stq swg yid
* 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-gmw/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu 	| 21.4 	| 0.518 |
| news-test2008-engdeu.eng.deu 	| 21.0 	| 0.510 |
| newstest2009-engdeu.eng.deu 	| 20.4 	| 0.513 |
| newstest2010-engdeu.eng.deu 	| 22.9 	| 0.528 |
| newstest2011-engdeu.eng.deu 	| 20.5 	| 0.508 |
| newstest2012-engdeu.eng.deu 	| 21.0 	| 0.507 |
| newstest2013-engdeu.eng.deu 	| 24.7 	| 0.533 |
| newstest2015-ende-engdeu.eng.deu 	| 28.2 	| 0.568 |
| newstest2016-ende-engdeu.eng.deu 	| 33.3 	| 0.605 |
| newstest2017-ende-engdeu.eng.deu 	| 26.5 	| 0.559 |
| newstest2018-ende-engdeu.eng.deu 	| 39.9 	| 0.649 |
| newstest2019-ende-engdeu.eng.deu 	| 35.9 	| 0.616 |
| Tatoeba-test.eng-afr.eng.afr 	| 55.7 	| 0.740 |
| Tatoeba-test.eng-ang.eng.ang 	| 6.5 	| 0.164 |
| Tatoeba-test.eng-deu.eng.deu 	| 40.4 	| 0.614 |
| Tatoeba-test.eng-enm.eng.enm 	| 2.3 	| 0.254 |
| Tatoeba-test.eng-frr.eng.frr 	| 8.4 	| 0.248 |
| Tatoeba-test.eng-fry.eng.fry 	| 17.9 	| 0.424 |
| Tatoeba-test.eng-gos.eng.gos 	| 2.2 	| 0.309 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 1.6 	| 0.186 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 1.5 	| 0.189 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 20.2 	| 0.383 |
| Tatoeba-test.eng.multi 	| 41.6 	| 0.609 |
| Tatoeba-test.eng-nds.eng.nds 	| 18.9 	| 0.437 |
| Tatoeba-test.eng-nld.eng.nld 	| 53.1 	| 0.699 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 7.7 	| 0.262 |
| Tatoeba-test.eng-sco.eng.sco 	| 37.7 	| 0.557 |
| Tatoeba-test.eng-stq.eng.stq 	| 5.9 	| 0.380 |
| Tatoeba-test.eng-swg.eng.swg 	| 6.2 	| 0.236 |
| Tatoeba-test.eng-yid.eng.yid 	| 6.8 	| 0.296 |


### System Info:


- hf_name: eng-gmw
- source_languages: eng
- target_languages: gmw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gmw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'nl', 'lb', 'af', 'de', 'fy', 'yi', 'gmw']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'nld', 'eng', 'enm_Latn', 'ltz', 'stq', 'afr', 'pdc', 'deu', 'gos', 'ang_Latn', 'fry', 'gsw', 'frr', 'nds', 'yid', 'swg', 'sco'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gmw/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gmw
- short_pair: en-gmw
- chrF2_score: 0.609
- bleu: 41.6
- brevity_penalty: 0.9890000000000001
- ref_len: 74922.0
- src_name: English
- tgt_name: West Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gmw
- prefer_old: False
- long_pair: eng-gmw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-gmw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, nl, lb, af, de, fy, yi, gmw, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-srn-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.srn.es 	| 30.4 	| 0.481 |


model name: opus-mt-srn-es


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


### opus-mt-fr-ty


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ty 	| 39.6 	| 0.561 |


model name: opus-mt-fr-ty


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


### opus-mt-toi-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.toi.en 	| 39.0 	| 0.539 |


model name: opus-mt-toi-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-loz


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.loz 	| 27.7 	| 0.480 |


model name: opus-mt-de-loz


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


language:


- no
- uk


- translation


## license: apache-2.0


### nor-ukr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.ukr 	| 16.6 	| 0.384 |


### System Info:


- hf_name: nor-ukr
- source_languages: nor
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['no', 'uk']
- src_constituents: {'nob', 'nno'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-ukr/opus-2020-06-17.test.txt
- src_alpha3: nor
- tgt_alpha3: ukr
- short_pair: no-uk
- chrF2_score: 0.384
- bleu: 16.6
- brevity_penalty: 1.0
- ref_len: 3982.0
- src_name: Norwegian
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: no
- tgt_alpha2: uk
- prefer_old: False
- long_pair: nor-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-no-uk


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-run


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.run 	| 23.2 	| 0.498 |


model name: opus-mt-fi-run


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


### opus-mt-srn-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.srn.en 	| 40.3 	| 0.555 |


model name: opus-mt-srn-en


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


### opus-mt-tn-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tn.fr 	| 29.0 	| 0.474 |


model name: opus-mt-tn-fr


model author: Helsinki-NLP


task: translation


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


language:


- fr
- vi


tags:


- translation


## license: apache-2.0


### fra-vie


* source group: French
* target group: Vietnamese
* OPUS readme: [fra-vie](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md)
* model: transformer-align
* source language(s): fra
* target language(s): vie
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.vie 	| 31.1 	| 0.486 |


### System Info:


- hf_name: fra-vie
- source_languages: fra
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'vi']
- src_constituents: {'fra'}
- tgt_constituents: {'vie', 'vie_Hani'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-vie/opus-2020-06-17.test.txt
- src_alpha3: fra
- tgt_alpha3: vie
- short_pair: fr-vi
- chrF2_score: 0.486
- bleu: 31.1
- brevity_penalty: 0.985
- ref_len: 13219.0
- src_name: French
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: fr
- tgt_alpha2: vi
- prefer_old: False
- long_pair: fra-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-vi


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


- translation
license: apache-2.0


### opus-mt-fi-hil


* source languages: fi
* target languages: hil
* OPUS readme: [fi-hil](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi-hil/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-hil/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.hil 	| 38.7 	| 0.610 |


model name: opus-mt-fi-hil


model author: Helsinki-NLP


task: translation


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


language:


- hr
- mk
- bg
- sl
- zls
- en


tags:


- translation


## license: apache-2.0


### zls-eng


* source group: South Slavic languages
* target group: English
* OPUS readme: [zls-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-eng/README.md)
* model: transformer
* source language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.bul-eng.bul.eng 	| 54.9 	| 0.693 |
| Tatoeba-test.hbs-eng.hbs.eng 	| 55.7 	| 0.700 |
| Tatoeba-test.mkd-eng.mkd.eng 	| 54.6 	| 0.681 |
| Tatoeba-test.multi.eng 	| 53.6 	| 0.676 |
| Tatoeba-test.slv-eng.slv.eng 	| 25.6 	| 0.407 |


### System Info:


- hf_name: zls-eng
- source_languages: zls
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zls-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hr', 'mk', 'bg', 'sl', 'zls', 'en']
- src_constituents: {'hrv', 'mkd', 'srp_Latn', 'srp_Cyrl', 'bul_Latn', 'bul', 'bos_Latn', 'slv'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zls-eng/opus2m-2020-08-01.test.txt
- src_alpha3: zls
- tgt_alpha3: eng
- short_pair: zls-en
- chrF2_score: 0.6759999999999999
- bleu: 53.6
- brevity_penalty: 0.98
- ref_len: 68623.0
- src_name: South Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: zls
- tgt_alpha2: en
- prefer_old: False
- long_pair: zls-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zls-en


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


- translation
license: apache-2.0


### opus-mt-st-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.st.fi 	| 28.8 	| 0.520 |


model name: opus-mt-st-fi


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fr-hu


* source languages: fr
* target languages: hu
* OPUS readme: [fr-hu](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-hu/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-hu/opus-2020-01-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.hu 	| 41.3 	| 0.629 |


model name: opus-mt-fr-hu


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


### opus-mt-de-pag


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.pag 	| 24.3 	| 0.469 |


model name: opus-mt-de-pag


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


- translation
license: apache-2.0


### opus-mt-sg-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sg.en 	| 32.0 	| 0.477 |


model name: opus-mt-sg-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-lu-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lu.es 	| 22.4 	| 0.400 |


model name: opus-mt-lu-es


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


### opus-mt-lua-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lua.fr 	| 25.7 	| 0.429 |


model name: opus-mt-lua-fr


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


language:


- lt
- pl


- translation


## license: apache-2.0


### lit-pol


* source group: Lithuanian
* target group: Polish
* OPUS readme: [lit-pol](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md)
* model: transformer-align
* source language(s): lit
* target language(s): pol
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.lit.pol 	| 53.6 	| 0.721 |


### System Info:


- hf_name: lit-pol
- source_languages: lit
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/lit-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['lt', 'pl']
- src_constituents: {'lit'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/lit-pol/opus-2020-06-17.test.txt
- src_alpha3: lit
- tgt_alpha3: pol
- short_pair: lt-pl
- chrF2_score: 0.721
- bleu: 53.6
- brevity_penalty: 0.9570000000000001
- ref_len: 10629.0
- src_name: Lithuanian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: lt
- tgt_alpha2: pl
- prefer_old: False
- long_pair: lit-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-lt-pl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-lg-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lg.es 	| 22.1 	| 0.393 |


model name: opus-mt-lg-es


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


language:


- eo
- nl


- translation


## license: apache-2.0


### epo-nld


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.epo.nld 	| 15.3 	| 0.337 |


### System Info:


- hf_name: epo-nld
- source_languages: epo
- target_languages: nld
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/epo-nld/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'nl']
- src_constituents: {'epo'}
- tgt_constituents: {'nld'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/epo-nld/opus-2020-06-16.test.txt
- src_alpha3: epo
- tgt_alpha3: nld
- short_pair: eo-nl
- chrF2_score: 0.337
- bleu: 15.3
- brevity_penalty: 0.8640000000000001
- ref_len: 78770.0
- src_name: Esperanto
- tgt_name: Dutch
- train_date: 2020-06-16
- src_alpha2: eo
- tgt_alpha2: nl
- prefer_old: False
- long_pair: epo-nld
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-eo-nl


model author: Helsinki-NLP


task: translation


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


- ru
- bg


tags:


### rus-bul


* source group: Russian
* target group: Bulgarian
* OPUS readme: [rus-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md)
* model: transformer
* source language(s): rus
* target language(s): bul bul_Latn
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-03.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.bul 	| 52.3 	| 0.704 |


- hf_name: rus-bul
- source_languages: rus
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'bg']
- src_constituents: {'rus'}
- 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/rus-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-bul/opus-2020-07-03.test.txt
- src_alpha3: rus
- tgt_alpha3: bul
- short_pair: ru-bg
- chrF2_score: 0.7040000000000001
- bleu: 52.3
- brevity_penalty: 0.919
- ref_len: 8272.0
- src_name: Russian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: ru
- tgt_alpha2: bg
- prefer_old: False
- long_pair: rus-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-bg


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


- translation
license: apache-2.0


### opus-mt-eu-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eu.en 	| 46.1 	| 0.638 |


model name: opus-mt-eu-en


model author: Helsinki-NLP


task: translation


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


language:


- mt
- ar
- he
- ti
- am
- sem
- en


tags:


- translation


## license: apache-2.0


### sem-eng


* source group: Semitic languages
* target group: English
* OPUS readme: [sem-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md)
* model: transformer
* source language(s): acm afb amh apc ara arq ary arz heb mlt tir
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.amh-eng.amh.eng 	| 37.5 	| 0.565 |
| Tatoeba-test.ara-eng.ara.eng 	| 38.9 	| 0.566 |
| Tatoeba-test.heb-eng.heb.eng 	| 44.6 	| 0.610 |
| Tatoeba-test.mlt-eng.mlt.eng 	| 53.7 	| 0.688 |
| Tatoeba-test.multi.eng 	| 41.7 	| 0.588 |
| Tatoeba-test.tir-eng.tir.eng 	| 18.3 	| 0.370 |


### System Info:


- hf_name: sem-eng
- source_languages: sem
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sem-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['mt', 'ar', 'he', 'ti', 'am', 'sem', 'en']
- src_constituents: {'apc', 'mlt', 'arz', 'ara', 'heb', 'tir', 'arq', 'afb', 'amh', 'acm', 'ary'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sem-eng/opus2m-2020-08-01.test.txt
- src_alpha3: sem
- tgt_alpha3: eng
- short_pair: sem-en
- chrF2_score: 0.588
- bleu: 41.7
- brevity_penalty: 0.987
- ref_len: 72950.0
- src_name: Semitic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: sem
- tgt_alpha2: en
- prefer_old: False
- long_pair: sem-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sem-en


tags: pytorch, marian, text2text-generation, mt, ar, he, ti, am, sem, en, transformers, translation, license:apache-2.0, autonlp_compatible


- pt
- ca


### por-cat


* source group: Portuguese
* target group: Catalan
* OPUS readme: [por-cat](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md)
* model: transformer-align
* source language(s): por
* target language(s): cat
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.por.cat 	| 45.7 	| 0.672 |


- hf_name: por-cat
- source_languages: por
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/por-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pt', 'ca']
- src_constituents: {'por'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/por-cat/opus-2020-06-17.test.txt
- src_alpha3: por
- tgt_alpha3: cat
- short_pair: pt-ca
- chrF2_score: 0.672
- bleu: 45.7
- brevity_penalty: 0.972
- ref_len: 5878.0
- src_name: Portuguese
- tgt_name: Catalan
- train_date: 2020-06-17
- src_alpha2: pt
- tgt_alpha2: ca
- prefer_old: False
- long_pair: por-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pt-ca


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-st


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.st 	| 35.5 	| 0.556 |


model name: opus-mt-es-st


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


### opus-mt-fr-run


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.run 	| 23.8 	| 0.482 |


model name: opus-mt-fr-run


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


### opus-mt-en-toi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.toi 	| 32.8 	| 0.598 |


model name: opus-mt-en-toi


model author: Helsinki-NLP


task: translation


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


language:


- pl
- lt


tags:


- translation


## license: apache-2.0


### pol-lit


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.pol.lit 	| 43.7 	| 0.688 |


### System Info:


- hf_name: pol-lit
- source_languages: pol
- target_languages: lit
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/pol-lit/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['pl', 'lt']
- src_constituents: {'pol'}
- tgt_constituents: {'lit'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/pol-lit/opus-2020-06-17.test.txt
- src_alpha3: pol
- tgt_alpha3: lit
- short_pair: pl-lt
- chrF2_score: 0.688
- bleu: 43.7
- brevity_penalty: 0.981
- ref_len: 10084.0
- src_name: Polish
- tgt_name: Lithuanian
- train_date: 2020-06-17
- src_alpha2: pl
- tgt_alpha2: lt
- prefer_old: False
- long_pair: pol-lit
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-pl-lt


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


- be
- hr
- mk
- cs
- ru
- pl
- bg
- uk
- sl
- sla


### sla-sla


* source group: Slavic languages
* target group: Slavic languages
* OPUS readme: [sla-sla](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md)
* model: transformer
* source language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr
* target language(s): bel bel_Latn bos_Latn bul bul_Latn ces dsb hrv hsb mkd orv_Cyrl pol rus slv srp_Cyrl srp_Latn ukr
* 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/sla-sla/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012-cesrus.ces.rus 	| 15.9 	| 0.437 |
| newstest2012-rusces.rus.ces 	| 13.6 	| 0.403 |
| newstest2013-cesrus.ces.rus 	| 19.8 	| 0.473 |
| newstest2013-rusces.rus.ces 	| 17.9 	| 0.449 |
| Tatoeba-test.bel-bul.bel.bul 	| 100.0 	| 1.000 |
| Tatoeba-test.bel-ces.bel.ces 	| 33.5 	| 0.630 |
| Tatoeba-test.bel-hbs.bel.hbs 	| 45.4 	| 0.644 |
| Tatoeba-test.bel-mkd.bel.mkd 	| 19.3 	| 0.531 |
| Tatoeba-test.bel-pol.bel.pol 	| 46.9 	| 0.681 |
| Tatoeba-test.bel-rus.bel.rus 	| 58.5 	| 0.767 |
| Tatoeba-test.bel-ukr.bel.ukr 	| 55.1 	| 0.743 |
| Tatoeba-test.bul-bel.bul.bel 	| 10.7 	| 0.423 |
| Tatoeba-test.bul-ces.bul.ces 	| 36.9 	| 0.585 |
| Tatoeba-test.bul-hbs.bul.hbs 	| 53.7 	| 0.807 |
| Tatoeba-test.bul-mkd.bul.mkd 	| 31.9 	| 0.715 |
| Tatoeba-test.bul-pol.bul.pol 	| 38.6 	| 0.607 |
| Tatoeba-test.bul-rus.bul.rus 	| 44.8 	| 0.655 |
| Tatoeba-test.bul-ukr.bul.ukr 	| 49.9 	| 0.691 |
| Tatoeba-test.ces-bel.ces.bel 	| 30.9 	| 0.585 |
| Tatoeba-test.ces-bul.ces.bul 	| 75.8 	| 0.859 |
| Tatoeba-test.ces-hbs.ces.hbs 	| 50.0 	| 0.661 |
| Tatoeba-test.ces-hsb.ces.hsb 	| 7.9 	| 0.246 |
| Tatoeba-test.ces-mkd.ces.mkd 	| 24.6 	| 0.569 |
| Tatoeba-test.ces-pol.ces.pol 	| 44.3 	| 0.652 |
| Tatoeba-test.ces-rus.ces.rus 	| 50.8 	| 0.690 |
| Tatoeba-test.ces-slv.ces.slv 	| 4.9 	| 0.240 |
| Tatoeba-test.ces-ukr.ces.ukr 	| 52.9 	| 0.687 |
| Tatoeba-test.dsb-pol.dsb.pol 	| 16.3 	| 0.367 |
| Tatoeba-test.dsb-rus.dsb.rus 	| 12.7 	| 0.245 |
| Tatoeba-test.hbs-bel.hbs.bel 	| 32.9 	| 0.531 |
| Tatoeba-test.hbs-bul.hbs.bul 	| 100.0 	| 1.000 |
| Tatoeba-test.hbs-ces.hbs.ces 	| 40.3 	| 0.626 |
| Tatoeba-test.hbs-mkd.hbs.mkd 	| 19.3 	| 0.535 |
| Tatoeba-test.hbs-pol.hbs.pol 	| 45.0 	| 0.650 |
| Tatoeba-test.hbs-rus.hbs.rus 	| 53.5 	| 0.709 |
| Tatoeba-test.hbs-ukr.hbs.ukr 	| 50.7 	| 0.684 |
| Tatoeba-test.hsb-ces.hsb.ces 	| 17.9 	| 0.366 |
| Tatoeba-test.mkd-bel.mkd.bel 	| 23.6 	| 0.548 |
| Tatoeba-test.mkd-bul.mkd.bul 	| 54.2 	| 0.833 |
| Tatoeba-test.mkd-ces.mkd.ces 	| 12.1 	| 0.371 |
| Tatoeba-test.mkd-hbs.mkd.hbs 	| 19.3 	| 0.577 |
| Tatoeba-test.mkd-pol.mkd.pol 	| 53.7 	| 0.833 |
| Tatoeba-test.mkd-rus.mkd.rus 	| 34.2 	| 0.745 |
| Tatoeba-test.mkd-ukr.mkd.ukr 	| 42.7 	| 0.708 |
| Tatoeba-test.multi.multi 	| 48.5 	| 0.672 |
| Tatoeba-test.orv-pol.orv.pol 	| 10.1 	| 0.355 |
| Tatoeba-test.orv-rus.orv.rus 	| 10.6 	| 0.275 |
| Tatoeba-test.orv-ukr.orv.ukr 	| 7.5 	| 0.230 |
| Tatoeba-test.pol-bel.pol.bel 	| 29.8 	| 0.533 |
| Tatoeba-test.pol-bul.pol.bul 	| 36.8 	| 0.578 |
| Tatoeba-test.pol-ces.pol.ces 	| 43.6 	| 0.626 |
| Tatoeba-test.pol-dsb.pol.dsb 	| 0.9 	| 0.097 |
| Tatoeba-test.pol-hbs.pol.hbs 	| 42.4 	| 0.644 |
| Tatoeba-test.pol-mkd.pol.mkd 	| 19.3 	| 0.535 |
| Tatoeba-test.pol-orv.pol.orv 	| 0.7 	| 0.109 |
| Tatoeba-test.pol-rus.pol.rus 	| 49.6 	| 0.680 |
| Tatoeba-test.pol-slv.pol.slv 	| 7.3 	| 0.262 |
| Tatoeba-test.pol-ukr.pol.ukr 	| 46.8 	| 0.664 |
| Tatoeba-test.rus-bel.rus.bel 	| 34.4 	| 0.577 |
| Tatoeba-test.rus-bul.rus.bul 	| 45.5 	| 0.657 |
| Tatoeba-test.rus-ces.rus.ces 	| 48.0 	| 0.659 |
| Tatoeba-test.rus-dsb.rus.dsb 	| 10.7 	| 0.029 |
| Tatoeba-test.rus-hbs.rus.hbs 	| 44.6 	| 0.655 |
| Tatoeba-test.rus-mkd.rus.mkd 	| 34.9 	| 0.617 |
| Tatoeba-test.rus-orv.rus.orv 	| 0.1 	| 0.073 |
| Tatoeba-test.rus-pol.rus.pol 	| 45.2 	| 0.659 |
| Tatoeba-test.rus-slv.rus.slv 	| 30.4 	| 0.476 |
| Tatoeba-test.rus-ukr.rus.ukr 	| 57.6 	| 0.751 |
| Tatoeba-test.slv-ces.slv.ces 	| 42.5 	| 0.604 |
| Tatoeba-test.slv-pol.slv.pol 	| 39.6 	| 0.601 |
| Tatoeba-test.slv-rus.slv.rus 	| 47.2 	| 0.638 |
| Tatoeba-test.slv-ukr.slv.ukr 	| 36.4 	| 0.549 |
| Tatoeba-test.ukr-bel.ukr.bel 	| 36.9 	| 0.597 |
| Tatoeba-test.ukr-bul.ukr.bul 	| 56.4 	| 0.733 |
| Tatoeba-test.ukr-ces.ukr.ces 	| 52.1 	| 0.686 |
| Tatoeba-test.ukr-hbs.ukr.hbs 	| 47.1 	| 0.670 |
| Tatoeba-test.ukr-mkd.ukr.mkd 	| 20.8 	| 0.548 |
| Tatoeba-test.ukr-orv.ukr.orv 	| 0.2 	| 0.058 |
| Tatoeba-test.ukr-pol.ukr.pol 	| 50.1 	| 0.695 |
| Tatoeba-test.ukr-rus.ukr.rus 	| 63.9 	| 0.790 |
| Tatoeba-test.ukr-slv.ukr.slv 	| 14.5 	| 0.288 |


- hf_name: sla-sla
- source_languages: sla
- target_languages: sla
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-sla/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla']
- src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- tgt_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-sla/opus-2020-07-27.test.txt
- src_alpha3: sla
- tgt_alpha3: sla
- short_pair: sla-sla
- chrF2_score: 0.672
- bleu: 48.5
- brevity_penalty: 1.0
- ref_len: 59320.0
- src_name: Slavic languages
- tgt_name: Slavic languages
- train_date: 2020-07-27
- src_alpha2: sla
- tgt_alpha2: sla
- prefer_old: False
- long_pair: sla-sla
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sla-sla


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, be, hr, mk, cs, ru, pl, bg, uk, sl, sla, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-run-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.run.sv 	| 30.1 	| 0.484 |


model name: opus-mt-run-sv


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


### opus-mt-tn-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tn.en 	| 43.4 	| 0.589 |


model name: opus-mt-tn-en


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


language:


- en
- pl
- cs
- zlw


- translation


## license: apache-2.0


### eng-zlw


* source group: English
* target group: West Slavic languages
* OPUS readme: [eng-zlw](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md)
* model: transformer
* source language(s): eng
* target language(s): ces csb_Latn dsb hsb pol
* 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-2020-08-02.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip)
* test set translations: [opus2m-2020-08-02.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt)
* test set scores: [opus2m-2020-08-02.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engces.eng.ces 	| 20.6 	| 0.488 |
| news-test2008-engces.eng.ces 	| 18.3 	| 0.466 |
| newstest2009-engces.eng.ces 	| 19.8 	| 0.483 |
| newstest2010-engces.eng.ces 	| 19.8 	| 0.486 |
| newstest2011-engces.eng.ces 	| 20.6 	| 0.489 |
| newstest2012-engces.eng.ces 	| 18.6 	| 0.464 |
| newstest2013-engces.eng.ces 	| 22.3 	| 0.495 |
| newstest2015-encs-engces.eng.ces 	| 21.7 	| 0.502 |
| newstest2016-encs-engces.eng.ces 	| 24.5 	| 0.521 |
| newstest2017-encs-engces.eng.ces 	| 20.1 	| 0.480 |
| newstest2018-encs-engces.eng.ces 	| 19.9 	| 0.483 |
| newstest2019-encs-engces.eng.ces 	| 21.2 	| 0.490 |
| Tatoeba-test.eng-ces.eng.ces 	| 43.7 	| 0.632 |
| Tatoeba-test.eng-csb.eng.csb 	| 1.2 	| 0.188 |
| Tatoeba-test.eng-dsb.eng.dsb 	| 1.5 	| 0.167 |
| Tatoeba-test.eng-hsb.eng.hsb 	| 5.7 	| 0.199 |
| Tatoeba-test.eng.multi 	| 42.8 	| 0.632 |
| Tatoeba-test.eng-pol.eng.pol 	| 43.2 	| 0.641 |


### System Info:


- hf_name: eng-zlw
- source_languages: eng
- target_languages: zlw
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-zlw/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'pl', 'cs', 'zlw']
- src_constituents: {'eng'}
- tgt_constituents: {'csb_Latn', 'dsb', 'hsb', 'pol', 'ces'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-zlw/opus2m-2020-08-02.test.txt
- src_alpha3: eng
- tgt_alpha3: zlw
- short_pair: en-zlw
- chrF2_score: 0.632
- bleu: 42.8
- brevity_penalty: 0.973
- ref_len: 65397.0
- src_name: English
- tgt_name: West Slavic languages
- train_date: 2020-08-02
- src_alpha2: en
- tgt_alpha2: zlw
- prefer_old: False
- long_pair: eng-zlw
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-zlw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, pl, cs, zlw, transformers, translation, license:apache-2.0, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-es-sg


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sg 	| 24.8 	| 0.435 |


model name: opus-mt-es-sg


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


### opus-mt-fr-ve


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ve 	| 26.3 	| 0.481 |


model name: opus-mt-fr-ve


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


### opus-mt-nyk-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nyk.en 	| 27.3 	| 0.423 |


model name: opus-mt-nyk-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-it-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.it.fr 	| 67.9 	| 0.792 |


model name: opus-mt-it-fr


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


### opus-mt-loz-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.loz.sv 	| 30.0 	| 0.477 |


model name: opus-mt-loz-sv


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


### opus-mt-en-tn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tn 	| 45.5 	| 0.636 |


model name: opus-mt-en-tn


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-hr-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hr.fr 	| 26.1 	| 0.482 |


model name: opus-mt-hr-fr


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


language:


- ko
- hu


- translation


## license: apache-2.0


### kor-hun


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.hun 	| 28.6 	| 0.520 |


### System Info:


- hf_name: kor-hun
- source_languages: kor
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'hu']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-hun/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: hun
- short_pair: ko-hu
- chrF2_score: 0.52
- bleu: 28.6
- brevity_penalty: 0.905
- ref_len: 1615.0
- src_name: Korean
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: hu
- prefer_old: False
- long_pair: kor-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-hu


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-sq


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sq 	| 32.0 	| 0.535 |


model name: opus-mt-fi-sq


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


### opus-mt-fr-ru


* source languages: fr
* target languages: ru
* OPUS readme: [fr-ru](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr-ru/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-24.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.zip)
* test set translations: [opus-2020-01-24.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.test.txt)
* test set scores: [opus-2020-01-24.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-ru/opus-2020-01-24.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ru 	| 37.9 	| 0.585 |


model name: opus-mt-fr-ru


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


### opus-mt-en-pon


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.pon 	| 32.4 	| 0.542 |


model name: opus-mt-en-pon


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-hil


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.hil 	| 35.8 	| 0.584 |


model name: opus-mt-es-hil


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


language:


- en
- da
- sv
- af
- nn
- fy
- fo
- de
- nb
- nl
- is
- lb
- yi
- gem


- translation


## license: apache-2.0


### eng-gem


* source group: English
* target group: Germanic languages
* OPUS readme: [eng-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md)
* model: transformer
* source language(s): eng
* target language(s): afr ang_Latn dan deu enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* 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-gem/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-engdeu.eng.deu 	| 20.9 	| 0.521 |
| news-test2008-engdeu.eng.deu 	| 21.1 	| 0.511 |
| newstest2009-engdeu.eng.deu 	| 20.5 	| 0.516 |
| newstest2010-engdeu.eng.deu 	| 22.5 	| 0.526 |
| newstest2011-engdeu.eng.deu 	| 20.5 	| 0.508 |
| newstest2012-engdeu.eng.deu 	| 20.8 	| 0.507 |
| newstest2013-engdeu.eng.deu 	| 24.6 	| 0.534 |
| newstest2015-ende-engdeu.eng.deu 	| 27.9 	| 0.569 |
| newstest2016-ende-engdeu.eng.deu 	| 33.2 	| 0.607 |
| newstest2017-ende-engdeu.eng.deu 	| 26.5 	| 0.560 |
| newstest2018-ende-engdeu.eng.deu 	| 39.4 	| 0.648 |
| newstest2019-ende-engdeu.eng.deu 	| 35.0 	| 0.613 |
| Tatoeba-test.eng-afr.eng.afr 	| 56.5 	| 0.745 |
| Tatoeba-test.eng-ang.eng.ang 	| 6.7 	| 0.154 |
| Tatoeba-test.eng-dan.eng.dan 	| 58.0 	| 0.726 |
| Tatoeba-test.eng-deu.eng.deu 	| 40.3 	| 0.615 |
| Tatoeba-test.eng-enm.eng.enm 	| 1.4 	| 0.215 |
| Tatoeba-test.eng-fao.eng.fao 	| 7.2 	| 0.304 |
| Tatoeba-test.eng-frr.eng.frr 	| 5.5 	| 0.159 |
| Tatoeba-test.eng-fry.eng.fry 	| 19.4 	| 0.433 |
| Tatoeba-test.eng-gos.eng.gos 	| 1.0 	| 0.182 |
| Tatoeba-test.eng-got.eng.got 	| 0.3 	| 0.012 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.9 	| 0.130 |
| Tatoeba-test.eng-isl.eng.isl 	| 23.4 	| 0.505 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 1.1 	| 0.141 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 20.3 	| 0.379 |
| Tatoeba-test.eng.multi 	| 46.5 	| 0.641 |
| Tatoeba-test.eng-nds.eng.nds 	| 20.6 	| 0.458 |
| Tatoeba-test.eng-nld.eng.nld 	| 53.4 	| 0.702 |
| Tatoeba-test.eng-non.eng.non 	| 0.6 	| 0.166 |
| Tatoeba-test.eng-nor.eng.nor 	| 50.3 	| 0.679 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 3.9 	| 0.189 |
| Tatoeba-test.eng-sco.eng.sco 	| 33.0 	| 0.542 |
| Tatoeba-test.eng-stq.eng.stq 	| 2.3 	| 0.274 |
| Tatoeba-test.eng-swe.eng.swe 	| 57.9 	| 0.719 |
| Tatoeba-test.eng-swg.eng.swg 	| 1.2 	| 0.171 |
| Tatoeba-test.eng-yid.eng.yid 	| 7.2 	| 0.304 |


### System Info:


- hf_name: eng-gem
- source_languages: eng
- target_languages: gem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-gem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'lb', 'yi', 'gem']
- src_constituents: {'eng'}
- tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-gem/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: gem
- short_pair: en-gem
- chrF2_score: 0.6409999999999999
- bleu: 46.5
- brevity_penalty: 0.9790000000000001
- ref_len: 73328.0
- src_name: English
- tgt_name: Germanic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: gem
- prefer_old: False
- long_pair: eng-gem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-gem


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, en, da, sv, af, nn, fy, fo, de, nb, nl, is, lb, yi, gem, transformers, translation, license:apache-2.0, autonlp_compatible


- uk
- sh


tags:


### ukr-hbs


* source group: Ukrainian
* target group: Serbo-Croatian
* OPUS readme: [ukr-hbs](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md)
* model: transformer-align
* source language(s): ukr
* target language(s): hrv srp_Cyrl srp_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.hbs 	| 42.8 	| 0.631 |


- hf_name: ukr-hbs
- source_languages: ukr
- target_languages: hbs
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-hbs/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'sh']
- src_constituents: {'ukr'}
- tgt_constituents: {'hrv', 'srp_Cyrl', 'bos_Latn', 'srp_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-hbs/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: hbs
- short_pair: uk-sh
- chrF2_score: 0.631
- bleu: 42.8
- brevity_penalty: 0.96
- ref_len: 5128.0
- src_name: Ukrainian
- tgt_name: Serbo-Croatian
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: sh
- prefer_old: False
- long_pair: ukr-hbs
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-sh


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


- translation
license: apache-2.0


### opus-mt-mk-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.mk.fr 	| 22.3 	| 0.492 |


model name: opus-mt-mk-fr


model author: Helsinki-NLP


task: translation


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


### opus-mt-th-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.th.fr 	| 20.4 	| 0.363 |


model name: opus-mt-th-fr


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


language:


- da
- eo


tags:


- translation


## license: apache-2.0


### dan-epo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.dan.epo 	| 23.6 	| 0.432 |


### System Info:


- hf_name: dan-epo
- source_languages: dan
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/dan-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'eo']
- src_constituents: {'dan'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/dan-epo/opus-2020-06-16.test.txt
- src_alpha3: dan
- tgt_alpha3: epo
- short_pair: da-eo
- chrF2_score: 0.43200000000000005
- bleu: 23.6
- brevity_penalty: 0.9420000000000001
- ref_len: 69856.0
- src_name: Danish
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: da
- tgt_alpha2: eo
- prefer_old: False
- long_pair: dan-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-da-eo


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-csn-es


* source languages: csn
* target languages: es
* OPUS readme: [csn-es](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/csn-es/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-15.zip](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.zip)
* test set translations: [opus-2020-01-15.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.test.txt)
* test set scores: [opus-2020-01-15.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/csn-es/opus-2020-01-15.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.csn.es 	| 87.4 	| 0.899 |


model name: opus-mt-csn-es


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


tags:


### opus-mt-ti-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ti.en 	| 30.4 	| 0.461 |


model name: opus-mt-ti-en


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


language:


- fr
- he


- translation


## license: apache-2.0


### fr-he


* source group: French
* target group: Hebrew
* OPUS readme: [fra-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md)
* model: transformer
* source language(s): fra
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-12-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.heb 	| 39.2 	| 0.598 |


### System Info:


- hf_name: fr-he
- source_languages: fra
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'he']
- src_constituents: ('French', {'fra'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: fra-heb
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-heb/opus-2020-12-10.test.txt
- src_alpha3: fra
- tgt_alpha3: heb
- chrF2_score: 0.598
- bleu: 39.2
- brevity_penalty: 1.0
- ref_len: 20655.0
- src_name: French
- tgt_name: Hebrew
- train_date: 2020-12-10 00:00:00
- src_alpha2: fr
- tgt_alpha2: he
- prefer_old: False
- short_pair: fr-he
- helsinki_git_sha: b317f78a3ec8a556a481b6a53dc70dc11769ca96
- transformers_git_sha: 1310e1a758edc8e89ec363db76863c771fbeb1de
- port_machine: LM0-400-22516.local
- port_time: 2020-12-11-16:02


model name: opus-mt-fr-he


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-crs-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.crs.fi 	| 25.6 	| 0.479 |


model name: opus-mt-crs-fi


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


language:


- euq
- en


- translation


## license: apache-2.0


### euq-eng


* source group: Basque (family)
* target group: English
* OPUS readme: [euq-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md)
* model: transformer
* source language(s): eus
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eus.eng 	| 41.5 	| 0.594 |
| Tatoeba-test.eus-eng.eus.eng 	| 41.5 	| 0.594 |


### System Info:


- hf_name: euq-eng
- source_languages: euq
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/euq-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['euq', 'en']
- src_constituents: {'eus'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/euq-eng/opus-2020-07-26.test.txt
- src_alpha3: euq
- tgt_alpha3: eng
- short_pair: euq-en
- chrF2_score: 0.594
- bleu: 41.5
- brevity_penalty: 0.9640000000000001
- ref_len: 8157.0
- src_name: Basque (family)
- tgt_name: English
- train_date: 2020-07-26
- src_alpha2: euq
- tgt_alpha2: en
- prefer_old: False
- long_pair: euq-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-euq-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tpi-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tpi.en 	| 29.1 	| 0.448 |


model name: opus-mt-tpi-en


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


language:


- gl
- pt


- translation


## license: apache-2.0


### glg-por


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.por 	| 57.9 	| 0.758 |


### System Info: