* source group: Chinese
* target group: Italian
* OPUS readme: [zho-ita](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ita/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Hira cmn_Kana cmn_Latn lzh lzh_Hang lzh_Hani lzh_Hira lzh_Yiii wuu_Bopo wuu_Hani wuu_Latn yue_Hani
* target language(s): ita
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.ita 	| 27.9 	| 0.508 |


### System Info:


- hf_name: zho-ita
- source_languages: zho
- target_languages: ita
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ita/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'it']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'ita'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ita/opus-2020-06-17.test.txt
- src_alpha3: zho
- tgt_alpha3: ita
- short_pair: zh-it
- chrF2_score: 0.508
- bleu: 27.9
- brevity_penalty: 0.935
- ref_len: 19684.0
- src_name: Chinese
- tgt_name: Italian
- train_date: 2020-06-17
- src_alpha2: zh
- tgt_alpha2: it
- prefer_old: False
- long_pair: zho-ita
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-it


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ase-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.de 	| 27.2 	| 0.478 |


model name: opus-mt-ase-de


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


### opus-mt-fi-bzs


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bzs 	| 27.2 	| 0.459 |


model name: opus-mt-fi-bzs


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


### opus-mt-bzs-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.sv 	| 30.7 	| 0.489 |


model name: opus-mt-bzs-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-tn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tn 	| 36.3 	| 0.561 |


model name: opus-mt-sv-tn


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


language:


- id
- cpp


- translation


## license: apache-2.0


### cpp-cpp


* source group: Creoles and pidgins, Portuguese-based
* target group: Creoles and pidgins, Portuguese-based
* OPUS readme: [cpp-cpp](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md)
* model: transformer
* source language(s): ind pap
* target language(s): ind pap
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-26.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip)
* test set translations: [opus-2020-07-26.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt)
* test set scores: [opus-2020-07-26.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa-msa.msa.msa 	| 0.7 	| 0.149 |
| Tatoeba-test.msa-pap.msa.pap 	| 31.7 	| 0.577 |
| Tatoeba-test.multi.multi 	| 21.1 	| 0.369 |
| Tatoeba-test.pap-msa.pap.msa 	| 17.7 	| 0.197 |


### System Info:


- hf_name: cpp-cpp
- source_languages: cpp
- target_languages: cpp
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cpp-cpp/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['id', 'cpp']
- src_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- tgt_constituents: {'zsm_Latn', 'ind', 'pap', 'min', 'tmw_Latn', 'max_Latn', 'zlm_Latn'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cpp-cpp/opus-2020-07-26.test.txt
- src_alpha3: cpp
- tgt_alpha3: cpp
- short_pair: cpp-cpp
- chrF2_score: 0.369
- bleu: 21.1
- brevity_penalty: 0.882
- ref_len: 18.0
- src_name: Creoles and pidgins, Portuguese-based
- tgt_name: Creoles and pidgins, Portuguese-based
- train_date: 2020-07-26
- src_alpha2: cpp
- tgt_alpha2: cpp
- prefer_old: False
- long_pair: cpp-cpp
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-cpp-cpp


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-nso


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.nso 	| 31.1 	| 0.519 |


model name: opus-mt-de-nso


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


### opus-mt-ht-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ht.es 	| 23.7 	| 0.418 |


model name: opus-mt-ht-es


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


### opus-mt-fi-gil


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.gil 	| 28.3 	| 0.518 |


model name: opus-mt-fi-gil


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-mt


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mt 	| 29.9 	| 0.490 |


model name: opus-mt-fi-mt


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


### opus-mt-fi-nso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.nso 	| 35.8 	| 0.564 |


model name: opus-mt-fi-nso


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


### opus-mt-gil-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gil.sv 	| 25.8 	| 0.441 |


model name: opus-mt-gil-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-fj


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.fj 	| 24.6 	| 0.470 |


model name: opus-mt-de-fj


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


### opus-mt-fr-mos


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.mos 	| 21.1 	| 0.353 |


model name: opus-mt-fr-mos


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


### opus-mt-pon-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pon.sv 	| 26.4 	| 0.436 |


model name: opus-mt-pon-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-da-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.en 	| 63.6 	| 0.769 |


model name: opus-mt-da-en


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


language:


- ur
- en


- translation


## license: apache-2.0


### urd-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.urd.eng 	| 23.2 	| 0.435 |


### System Info:


- hf_name: urd-eng
- source_languages: urd
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/urd-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ur', 'en']
- src_constituents: {'urd'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/urd-eng/opus-2020-06-17.test.txt
- src_alpha3: urd
- tgt_alpha3: eng
- short_pair: ur-en
- chrF2_score: 0.435
- bleu: 23.2
- brevity_penalty: 0.975
- ref_len: 12029.0
- src_name: Urdu
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ur
- tgt_alpha2: en
- prefer_old: False
- long_pair: urd-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ur-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-kg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.kg 	| 29.5 	| 0.535 |


model name: opus-mt-fi-kg


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


### opus-mt-sv-he


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.he 	| 23.1 	| 0.440 |


model name: opus-mt-sv-he


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


### opus-mt-fi-mk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mk 	| 28.9 	| 0.501 |


model name: opus-mt-fi-mk


model author: Helsinki-NLP


task: translation


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


language:


- it
- he


tags:


- translation


## license: apache-2.0


### it-he


* source group: Italian
* target group: Hebrew
* OPUS readme: [ita-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-heb/README.md)
* model: transformer
* source language(s): ita
* 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/ita-heb/opus-2020-12-10.zip)
* test set translations: [opus-2020-12-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt)
* test set scores: [opus-2020-12-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.heb 	| 38.5 	| 0.593 |


### System Info:


- hf_name: it-he
- source_languages: ita
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'he']
- src_constituents: ('Italian', {'ita'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: ita-heb
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-heb/opus-2020-12-10.test.txt
- src_alpha3: ita
- tgt_alpha3: heb
- chrF2_score: 0.593
- bleu: 38.5
- brevity_penalty: 0.985
- ref_len: 9796.0
- src_name: Italian
- tgt_name: Hebrew
- train_date: 2020-12-10 00:00:00
- src_alpha2: it
- tgt_alpha2: he
- prefer_old: False
- short_pair: it-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-tatoeba-it-he


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


- el
- grk
- en


### grk-eng


* source group: Greek languages
* target group: English
* OPUS readme: [grk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md)
* model: transformer
* source language(s): ell grc_Grek
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus2m-2020-08-01.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ell-eng.ell.eng 	| 65.9 	| 0.779 |
| Tatoeba-test.grc-eng.grc.eng 	| 4.1 	| 0.187 |
| Tatoeba-test.multi.eng 	| 60.9 	| 0.733 |


- hf_name: grk-eng
- source_languages: grk
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/grk-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['el', 'grk', 'en']
- src_constituents: {'grc_Grek', 'ell'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/grk-eng/opus2m-2020-08-01.test.txt
- src_alpha3: grk
- tgt_alpha3: eng
- short_pair: grk-en
- chrF2_score: 0.733
- bleu: 60.9
- brevity_penalty: 0.973
- ref_len: 62205.0
- src_name: Greek languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: grk
- tgt_alpha2: en
- prefer_old: False
- long_pair: grk-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-grk-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-tn


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.tn 	| 33.1 	| 0.525 |


model name: opus-mt-fr-tn


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


language:


- be
- es


- translation


## license: apache-2.0


### bel-spa


* source group: Belarusian
* target group: Spanish
* OPUS readme: [bel-spa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md)
* model: transformer-align
* source language(s): bel bel_Latn
* target language(s): spa
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm4k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.eval.txt)


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


### System Info:


- hf_name: bel-spa
- source_languages: bel
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/bel-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'es']
- src_constituents: {'bel', 'bel_Latn'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/bel-spa/opus-2020-06-16.test.txt
- src_alpha3: bel
- tgt_alpha3: spa
- short_pair: be-es
- chrF2_score: 0.272
- bleu: 11.8
- brevity_penalty: 0.892
- ref_len: 1412.0
- src_name: Belarusian
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: be
- tgt_alpha2: es
- prefer_old: False
- long_pair: bel-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-be-es


model author: Helsinki-NLP


task: translation


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


- es
- vi


tags:


### spa-vie


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.vie 	| 33.1 	| 0.508 |


- hf_name: spa-vie
- source_languages: spa
- target_languages: vie
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-vie/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'vi']
- src_constituents: {'spa'}
- 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/spa-vie/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-vie/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: vie
- short_pair: es-vi
- chrF2_score: 0.508
- bleu: 33.1
- brevity_penalty: 0.98
- ref_len: 4654.0
- src_name: Spanish
- tgt_name: Vietnamese
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: vi
- prefer_old: False
- long_pair: spa-vie
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-vi


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


- translation
license: apache-2.0


### opus-mt-sv-nl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.sv.nl 	| 24.3 	| 0.522 |


model name: opus-mt-sv-nl


model author: Helsinki-NLP


task: translation


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


language:


- uk
- pl


tags:


- translation


## license: apache-2.0


### ukr-pol


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.pol 	| 49.9 	| 0.685 |


### System Info:


- hf_name: ukr-pol
- source_languages: ukr
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pl']
- src_constituents: {'ukr'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-pol/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: pol
- short_pair: uk-pl
- chrF2_score: 0.685
- bleu: 49.9
- brevity_penalty: 0.9470000000000001
- ref_len: 13098.0
- src_name: Ukrainian
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pl
- prefer_old: False
- long_pair: ukr-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-pl


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


- zh
- uk


### zho-ukr


* source group: Chinese
* target group: Ukrainian
* OPUS readme: [zho-ukr](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ukr/README.md)
* model: transformer-align
* source language(s): cmn cmn_Bopo cmn_Hang cmn_Hani cmn_Kana cmn_Latn cmn_Yiii yue_Bopo yue_Hang yue_Hani yue_Hira yue_Kana
* target language(s): ukr
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm4k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.zho.ukr 	| 10.4 	| 0.259 |


- hf_name: zho-ukr
- source_languages: zho
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/zho-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['zh', 'uk']
- src_constituents: {'cmn_Hans', 'nan', 'nan_Hani', 'gan', 'yue', 'cmn_Kana', 'yue_Hani', 'wuu_Bopo', 'cmn_Latn', 'yue_Hira', 'cmn_Hani', 'cjy_Hans', 'cmn', 'lzh_Hang', 'lzh_Hira', 'cmn_Hant', 'lzh_Bopo', 'zho', 'zho_Hans', 'zho_Hant', 'lzh_Hani', 'yue_Hang', 'wuu', 'yue_Kana', 'wuu_Latn', 'yue_Bopo', 'cjy_Hant', 'yue_Hans', 'lzh', 'cmn_Hira', 'lzh_Yiii', 'lzh_Hans', 'cmn_Bopo', 'cmn_Hang', 'hak_Hani', 'cmn_Yiii', 'yue_Hant', 'lzh_Kana', 'wuu_Hani'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/zho-ukr/opus-2020-06-16.test.txt
- src_alpha3: zho
- tgt_alpha3: ukr
- short_pair: zh-uk
- chrF2_score: 0.259
- bleu: 10.4
- brevity_penalty: 0.9059999999999999
- ref_len: 9193.0
- src_name: Chinese
- tgt_name: Ukrainian
- train_date: 2020-06-16
- src_alpha2: zh
- tgt_alpha2: uk
- prefer_old: False
- long_pair: zho-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-zh-uk


model author: Helsinki-NLP


task: translation


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


language:


- th
- en


tags:


- translation


## license: apache-2.0


### tha-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tha.eng 	| 48.1 	| 0.644 |


### System Info:


- hf_name: tha-eng
- source_languages: tha
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tha-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['th', 'en']
- src_constituents: {'tha'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tha-eng/opus-2020-06-17.test.txt
- src_alpha3: tha
- tgt_alpha3: eng
- short_pair: th-en
- chrF2_score: 0.644
- bleu: 48.1
- brevity_penalty: 0.9740000000000001
- ref_len: 7407.0
- src_name: Thai
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: th
- tgt_alpha2: en
- prefer_old: False
- long_pair: tha-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-th-en


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


- gl
- en


### glg-eng


* source group: Galician
* target group: English
* OPUS readme: [glg-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md)
* model: transformer-align
* source language(s): glg
* target language(s): eng
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.eng 	| 44.4 	| 0.628 |


- hf_name: glg-eng
- source_languages: glg
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'en']
- src_constituents: {'glg'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-eng/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: eng
- short_pair: gl-en
- chrF2_score: 0.628
- bleu: 44.4
- brevity_penalty: 0.975
- ref_len: 8365.0
- src_name: Galician
- tgt_name: English
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: en
- prefer_old: False
- long_pair: glg-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gl-en


model author: Helsinki-NLP


task: translation


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


language:


- en
- vi
- km
- mkh


tags:


- translation


## license: apache-2.0


### eng-mkh


* source group: English
* target group: Mon-Khmer languages
* OPUS readme: [eng-mkh](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md)
* model: transformer
* source language(s): eng
* target language(s): kha khm khm_Latn mnw vie vie_Hani
* 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/eng-mkh/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.eng-kha.eng.kha 	| 0.1 	| 0.015 |
| Tatoeba-test.eng-khm.eng.khm 	| 0.2 	| 0.226 |
| Tatoeba-test.eng-mnw.eng.mnw 	| 0.7 	| 0.003 |
| Tatoeba-test.eng.multi 	| 16.5 	| 0.330 |
| Tatoeba-test.eng-vie.eng.vie 	| 33.7 	| 0.513 |


### System Info:


- hf_name: eng-mkh
- source_languages: eng
- target_languages: mkh
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-mkh/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'vi', 'km', 'mkh']
- src_constituents: {'eng'}
- tgt_constituents: {'vie_Hani', 'mnw', 'vie', 'kha', 'khm_Latn', 'khm'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-mkh/opus-2020-07-27.test.txt
- src_alpha3: eng
- tgt_alpha3: mkh
- short_pair: en-mkh
- chrF2_score: 0.33
- bleu: 16.5
- brevity_penalty: 1.0
- ref_len: 34734.0
- src_name: English
- tgt_name: Mon-Khmer languages
- train_date: 2020-07-27
- src_alpha2: en
- tgt_alpha2: mkh
- prefer_old: False
- long_pair: eng-mkh
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-mkh


tags: pytorch, marian, text2text-generation, en, vi, km, mkh, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-da-de


* source languages: da
* target languages: de
* OPUS readme: [da-de](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da-de/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/da-de/opus-2020-01-26.zip)
* test set translations: [opus-2020-01-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.test.txt)
* test set scores: [opus-2020-01-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da-de/opus-2020-01-26.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.de 	| 57.4 	| 0.740 |


model name: opus-mt-da-de


model author: Helsinki-NLP


task: translation


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


language:


- es
- ca


tags:


- translation


## license: apache-2.0


### spa-cat


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.spa.cat 	| 68.9 	| 0.832 |


### System Info:


- hf_name: spa-cat
- source_languages: spa
- target_languages: cat
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/spa-cat/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['es', 'ca']
- src_constituents: {'spa'}
- tgt_constituents: {'cat'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/spa-cat/opus-2020-06-17.test.txt
- src_alpha3: spa
- tgt_alpha3: cat
- short_pair: es-ca
- chrF2_score: 0.8320000000000001
- bleu: 68.9
- brevity_penalty: 1.0
- ref_len: 12343.0
- src_name: Spanish
- tgt_name: Catalan
- train_date: 2020-06-17
- src_alpha2: es
- tgt_alpha2: ca
- prefer_old: False
- long_pair: spa-cat
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-es-ca


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


- translation
license: apache-2.0


### opus-mt-fi-wls


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.wls 	| 24.7 	| 0.466 |


model name: opus-mt-fi-wls


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-bi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.bi 	| 28.0 	| 0.473 |


model name: opus-mt-es-bi


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


### opus-mt-sk-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sk.en 	| 42.2 	| 0.612 |


model name: opus-mt-sk-en


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


language:


- gmw
- gmw
datasets:
- opus
tags:
- translation
license: cc-by-4.0
model-index:
- name: opus-mt-tc-base-gmw-gmw
results:
  - task:
name: Translation AFR - DEU
type: translation
args: afr-deu
dataset:
name: Tatoeba - Test
type: tatoeba
args: gmw-gmw
metrics:
    - name: BLEU
type: bleu
value: 48.5


# opus-mt-tc-base-gmw-gmw


Neural machine translation model for translating from West Germanic languages (gmw) to West Germanic languages (gmw).


This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).


* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)


## Model info


* Release: 2021-02-23
* source language(s): afr deu eng fry gos hrx ltz nds nld pdc yid
* target language(s): afr deu eng fry nds nld
* valid target language labels: >>afr<< >>ang_Latn<< >>deu<< >>eng<< >>fry<< >>ltz<< >>nds<< >>nld<< >>sco<< >>yid<<
* model: transformer (base)
* data: opus ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
* tokenization: SentencePiece (spm32k,spm32k)
* original model: [opus-2021-02-23.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.zip)
* more information: [OPUS-MT models (gmw-gmw)](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gmw-gmw/README.md)


This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>afr<<`


## Usage


You can use OPUS-MT models with the transformers pipelines, for example:


```python
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-gmw-gmw")
print(pipe(">>afr<< Replace this with text in an accepted source language."))
```


## Benchmarks


* test set translations: [opus-2021-02-23.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.test.txt)
* test set scores: [opus-2021-02-23.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gmw-gmw/opus-2021-02-23.eval.txt)


| langpair | testset | BLEU  | chr-F | #sent | #words | BP |
|----------|---------|-------|-------|-------|--------|----|
| afr-deu | Tatoeba-test 	| 48.5 	| 0.677 	| 1583 	| 9105 	| 1.000 |
| afr-eng | Tatoeba-test 	| 58.7 	| 0.727 	| 1374 	| 9622 	| 0.995 |
| afr-nld | Tatoeba-test 	| 54.7 	| 0.713 	| 1056 	| 6710 	| 0.989 |
| deu-afr | Tatoeba-test 	| 52.4 	| 0.697 	| 1583 	| 9507 	| 1.000 |
| deu-eng | newssyscomb2009 	| 25.4 	| 0.527 	| 502 	| 11821 	| 0.986 |
| deu-eng | news-test2008 	| 23.9 	| 0.519 	| 2051 	| 49380 	| 0.992 |
| deu-eng | newstest2009 	| 23.5 	| 0.517 	| 2525 	| 65402 	| 0.978 |
| deu-eng | newstest2010 	| 26.1 	| 0.548 	| 2489 	| 61724 	| 1.000 |
| deu-eng | newstest2011 	| 23.9 	| 0.525 	| 3003 	| 74681 	| 1.000 |
| deu-eng | newstest2012 	| 25.0 	| 0.533 	| 3003 	| 72812 	| 1.000 |
| deu-eng | newstest2013 	| 27.7 	| 0.549 	| 3000 	| 64505 	| 1.000 |
| deu-eng | newstest2014-deen 	| 27.4 	| 0.549 	| 3003 	| 67337 	| 0.977 |
| deu-eng | newstest2015-ende 	| 28.8 	| 0.554 	| 2169 	| 46443 	| 0.973 |
| deu-eng | newstest2016-ende 	| 33.7 	| 0.598 	| 2999 	| 64126 	| 1.000 |
| deu-eng | newstest2017-ende 	| 29.6 	| 0.562 	| 3004 	| 64399 	| 0.979 |
| deu-eng | newstest2018-ende 	| 36.3 	| 0.611 	| 2998 	| 67013 	| 0.977 |
| deu-eng | newstest2019-deen 	| 32.7 	| 0.585 	| 2000 	| 39282 	| 0.984 |
| deu-eng | Tatoeba-test 	| 44.7 	| 0.629 	| 10000 	| 81233 	| 0.975 |
| deu-nds | Tatoeba-test 	| 18.7 	| 0.444 	| 10000 	| 76144 	| 0.988 |
| deu-nld | Tatoeba-test 	| 48.7 	| 0.672 	| 10000 	| 73546 	| 0.969 |
| eng-afr | Tatoeba-test 	| 56.5 	| 0.735 	| 1374 	| 10317 	| 0.984 |
| eng-deu | newssyscomb2009 	| 19.4 	| 0.503 	| 502 	| 11271 	| 0.991 |
| eng-deu | news-test2008 	| 19.5 	| 0.493 	| 2051 	| 47427 	| 0.996 |
| eng-deu | newstest2009 	| 18.8 	| 0.499 	| 2525 	| 62816 	| 0.993 |
| eng-deu | newstest2010 	| 20.8 	| 0.509 	| 2489 	| 61511 	| 0.958 |
| eng-deu | newstest2011 	| 19.2 	| 0.493 	| 3003 	| 72981 	| 0.980 |
| eng-deu | newstest2012 	| 19.6 	| 0.494 	| 3003 	| 72886 	| 0.960 |
| eng-deu | newstest2013 	| 22.8 	| 0.518 	| 3000 	| 63737 	| 0.974 |
| eng-deu | newstest2015-ende 	| 25.8 	| 0.545 	| 2169 	| 44260 	| 1.000 |
| eng-deu | newstest2016-ende 	| 30.3 	| 0.581 	| 2999 	| 62670 	| 0.989 |
| eng-deu | newstest2017-ende 	| 24.2 	| 0.537 	| 3004 	| 61291 	| 1.000 |
| eng-deu | newstest2018-ende 	| 35.5 	| 0.616 	| 2998 	| 64276 	| 1.000 |
| eng-deu | newstest2019-ende 	| 31.6 	| 0.586 	| 1997 	| 48969 	| 0.973 |
| eng-deu | Tatoeba-test 	| 37.8 	| 0.591 	| 10000 	| 83347 	| 0.991 |
| eng-nds | Tatoeba-test 	| 16.5 	| 0.411 	| 2500 	| 18264 	| 0.992 |
| eng-nld | Tatoeba-test 	| 50.3 	| 0.677 	| 10000 	| 71436 	| 0.979 |
| fry-deu | Tatoeba-test 	| 28.7 	| 0.545 	| 66 	| 432 	| 1.000 |
| fry-eng | Tatoeba-test 	| 31.9 	| 0.496 	| 205 	| 1500 	| 1.000 |
| fry-nld | Tatoeba-test 	| 43.0 	| 0.634 	| 233 	| 1672 	| 1.000 |
| gos-nld | Tatoeba-test 	| 15.9 	| 0.409 	| 1852 	| 9903 	| 0.959 |
| hrx-deu | Tatoeba-test 	| 24.7 	| 0.487 	| 471 	| 2805 	| 0.984 |
| ltz-deu | Tatoeba-test 	| 36.6 	| 0.552 	| 337 	| 2144 	| 1.000 |
| ltz-eng | Tatoeba-test 	| 31.4 	| 0.477 	| 283 	| 1751 	| 1.000 |
| ltz-nld | Tatoeba-test 	| 37.5 	| 0.523 	| 273 	| 1567 	| 1.000 |
| multi-multi | Tatoeba-test 	| 37.1 	| 0.569 	| 10000 	| 73153 	| 1.000 |
| nds-deu | Tatoeba-test 	| 34.5 	| 0.572 	| 10000 	| 74571 	| 1.000 |
| nds-eng | Tatoeba-test 	| 29.6 	| 0.492 	| 2500 	| 17589 	| 1.000 |
| nds-nld | Tatoeba-test 	| 42.2 	| 0.621 	| 1657 	| 11490 	| 0.994 |
| nld-afr | Tatoeba-test 	| 59.0 	| 0.756 	| 1056 	| 6823 	| 1.000 |
| nld-deu | Tatoeba-test 	| 50.6 	| 0.688 	| 10000 	| 72438 	| 1.000 |
| nld-eng | Tatoeba-test 	| 54.5 	| 0.702 	| 10000 	| 69848 	| 0.975 |
| nld-fry | Tatoeba-test 	| 23.3 	| 0.462 	| 233 	| 1679 	| 1.000 |
| nld-nds | Tatoeba-test 	| 21.7 	| 0.462 	| 1657 	| 11711 	| 0.998 |
| pdc-eng | Tatoeba-test 	| 24.3 	| 0.402 	| 53 	| 399 	| 1.000 |
| yid-nld | Tatoeba-test 	| 21.3 	| 0.402 	| 55 	| 323 	| 1.000 |


## Acknowledgements


The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.


## Model conversion info


* transformers version: 4.12.3
* OPUS-MT git hash: b250e2e
* port time: Thu Jan 27 23:08:33 EET 2022
* port machine: LM0-400-22516.local


model name: opus-mt-tc-base-gmw-gmw


model author: Helsinki-NLP


task: translation


tags: pytorch, marian, text2text-generation, gmw, dataset:opus, transformers, translation, license:cc-by-4.0, model-index, autonlp_compatible


tags:


- translation
license: apache-2.0


### opus-mt-ee-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ee.fi 	| 25.0 	| 0.482 |


model name: opus-mt-ee-fi


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


### opus-mt-sv-NORWAY


* source languages: sv
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
* OPUS readme: [sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.no 	| 39.3 	| 0.590 |


model name: opus-mt-sv-NORWAY


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


### opus-mt-pis-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pis.en 	| 33.3 	| 0.493 |


model name: opus-mt-pis-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ca-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ca.en 	| 51.4 	| 0.678 |


model name: opus-mt-ca-en


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


language:


- ar
- eo


- translation


## license: apache-2.0


### ara-epo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.epo 	| 18.9 	| 0.376 |


### System Info:


- hf_name: ara-epo
- source_languages: ara
- target_languages: epo
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-epo/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'eo']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'epo'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-epo/opus-2020-06-16.test.txt
- src_alpha3: ara
- tgt_alpha3: epo
- short_pair: ar-eo
- chrF2_score: 0.376
- bleu: 18.9
- brevity_penalty: 0.948
- ref_len: 4506.0
- src_name: Arabic
- tgt_name: Esperanto
- train_date: 2020-06-16
- src_alpha2: ar
- tgt_alpha2: eo
- prefer_old: False
- long_pair: ara-epo
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-eo


model author: Helsinki-NLP


task: translation


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


- tt
- cv
- tk
- tr
- ba
- trk
- en


tags:


### trk-eng


* source group: Turkic languages
* target group: English
* OPUS readme: [trk-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md)
* model: transformer
* source language(s): aze_Latn bak chv crh crh_Latn kaz_Cyrl kaz_Latn kir_Cyrl kjh kum ota_Arab ota_Latn sah tat tat_Arab tat_Latn tuk tuk_Latn tur tyv uig_Arab uig_Cyrl uzb_Cyrl uzb_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/trk-eng/opus2m-2020-08-01.zip)
* test set translations: [opus2m-2020-08-01.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt)
* test set scores: [opus2m-2020-08-01.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-entr-tureng.tur.eng 	| 5.0 	| 0.242 |
| newstest2016-entr-tureng.tur.eng 	| 3.7 	| 0.231 |
| newstest2017-entr-tureng.tur.eng 	| 3.7 	| 0.229 |
| newstest2018-entr-tureng.tur.eng 	| 4.1 	| 0.230 |
| Tatoeba-test.aze-eng.aze.eng 	| 15.1 	| 0.330 |
| Tatoeba-test.bak-eng.bak.eng 	| 3.3 	| 0.185 |
| Tatoeba-test.chv-eng.chv.eng 	| 1.3 	| 0.161 |
| Tatoeba-test.crh-eng.crh.eng 	| 10.8 	| 0.325 |
| Tatoeba-test.kaz-eng.kaz.eng 	| 9.6 	| 0.264 |
| Tatoeba-test.kir-eng.kir.eng 	| 15.3 	| 0.328 |
| Tatoeba-test.kjh-eng.kjh.eng 	| 1.8 	| 0.121 |
| Tatoeba-test.kum-eng.kum.eng 	| 16.1 	| 0.277 |
| Tatoeba-test.multi.eng 	| 12.0 	| 0.304 |
| Tatoeba-test.ota-eng.ota.eng 	| 2.0 	| 0.149 |
| Tatoeba-test.sah-eng.sah.eng 	| 0.7 	| 0.140 |
| Tatoeba-test.tat-eng.tat.eng 	| 4.0 	| 0.215 |
| Tatoeba-test.tuk-eng.tuk.eng 	| 5.5 	| 0.243 |
| Tatoeba-test.tur-eng.tur.eng 	| 26.8 	| 0.443 |
| Tatoeba-test.tyv-eng.tyv.eng 	| 1.3 	| 0.111 |
| Tatoeba-test.uig-eng.uig.eng 	| 0.2 	| 0.111 |
| Tatoeba-test.uzb-eng.uzb.eng 	| 4.6 	| 0.195 |


- hf_name: trk-eng
- source_languages: trk
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/trk-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tt', 'cv', 'tk', 'tr', 'ba', 'trk', 'en']
- src_constituents: {'kir_Cyrl', 'tat_Latn', 'tat', 'chv', 'uzb_Cyrl', 'kaz_Latn', 'aze_Latn', 'crh', 'kjh', 'uzb_Latn', 'ota_Arab', 'tuk_Latn', 'tuk', 'tat_Arab', 'sah', 'tyv', 'tur', 'uig_Arab', 'crh_Latn', 'kaz_Cyrl', 'uig_Cyrl', 'kum', 'ota_Latn', 'bak'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/trk-eng/opus2m-2020-08-01.test.txt
- src_alpha3: trk
- tgt_alpha3: eng
- short_pair: trk-en
- chrF2_score: 0.304
- bleu: 12.0
- brevity_penalty: 1.0
- ref_len: 18733.0
- src_name: Turkic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: trk
- tgt_alpha2: en
- prefer_old: False
- long_pair: trk-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-trk-en


tags: pytorch, marian, text2text-generation, tt, cv, tk, tr, ba, trk, en, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-mt-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.en 	| 49.0 	| 0.655 |
| Tatoeba.mt.en 	| 53.3 	| 0.685 |


model name: opus-mt-mt-en


model author: Helsinki-NLP


task: translation


tags: pytorch, tf, jax, marian, text2text-generation, mt, en, transformers, translation, license:apache-2.0, autonlp_compatible


### opus-mt-es-niu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.niu 	| 29.9 	| 0.506 |


model name: opus-mt-es-niu


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


tags:


### opus-mt-fr-gil


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.gil 	| 27.9 	| 0.499 |


model name: opus-mt-fr-gil


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


language:


- he
- ar


- translation


## license: apache-2.0


### heb-ara


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.heb.ara 	| 23.6 	| 0.532 |


### System Info:


- hf_name: heb-ara
- source_languages: heb
- target_languages: ara
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/heb-ara/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['he', 'ar']
- src_constituents: {'heb'}
- tgt_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/heb-ara/opus-2020-07-03.test.txt
- src_alpha3: heb
- tgt_alpha3: ara
- short_pair: he-ar
- chrF2_score: 0.532
- bleu: 23.6
- brevity_penalty: 0.9259999999999999
- ref_len: 6372.0
- src_name: Hebrew
- tgt_name: Arabic
- train_date: 2020-07-03
- src_alpha2: he
- tgt_alpha2: ar
- prefer_old: False
- long_pair: heb-ara
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-he-ar


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ase-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.fr 	| 37.8 	| 0.553 |


model name: opus-mt-ase-fr


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


language:


- vi
- fr


- translation


## license: apache-2.0


### vie-fra


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.vie.fra 	| 34.2 	| 0.544 |


### System Info:


- hf_name: vie-fra
- source_languages: vie
- target_languages: fra
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/vie-fra/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['vi', 'fr']
- src_constituents: {'vie', 'vie_Hani'}
- tgt_constituents: {'fra'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/vie-fra/opus-2020-06-17.test.txt
- src_alpha3: vie
- tgt_alpha3: fra
- short_pair: vi-fr
- chrF2_score: 0.544
- bleu: 34.2
- brevity_penalty: 0.955
- ref_len: 11519.0
- src_name: Vietnamese
- tgt_name: French
- train_date: 2020-06-17
- src_alpha2: vi
- tgt_alpha2: fr
- prefer_old: False
- long_pair: vie-fra
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-vi-fr


model author: Helsinki-NLP


task: translation


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


- it
- bg


tags:


### ita-bul


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ita.bul 	| 47.9 	| 0.664 |


- hf_name: ita-bul
- source_languages: ita
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ita-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['it', 'bg']
- src_constituents: {'ita'}
- 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/ita-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ita-bul/opus-2020-07-03.test.txt
- src_alpha3: ita
- tgt_alpha3: bul
- short_pair: it-bg
- chrF2_score: 0.664
- bleu: 47.9
- brevity_penalty: 0.961
- ref_len: 16512.0
- src_name: Italian
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: it
- tgt_alpha2: bg
- prefer_old: False
- long_pair: ita-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-it-bg


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


- translation
license: apache-2.0


### opus-mt-rw-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.rw.fr 	| 26.7 	| 0.443 |


model name: opus-mt-rw-fr


model author: Helsinki-NLP


task: translation


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


### opus-mt-fi-to


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.to 	| 38.3 	| 0.541 |


model name: opus-mt-fi-to


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


tags:


### opus-mt-fr-yap


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.yap 	| 25.8 	| 0.434 |


model name: opus-mt-fr-yap


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


- translation
license: apache-2.0


### opus-mt-fr-de


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| euelections_dev2019.transformer-align.fr 	| 26.4 	| 0.571 |
| newssyscomb2009.fr.de 	| 22.1 	| 0.524 |
| news-test2008.fr.de 	| 22.1 	| 0.524 |
| newstest2009.fr.de 	| 21.6 	| 0.520 |
| newstest2010.fr.de 	| 22.6 	| 0.527 |
| newstest2011.fr.de 	| 21.5 	| 0.518 |
| newstest2012.fr.de 	| 22.4 	| 0.516 |
| newstest2013.fr.de 	| 24.2 	| 0.532 |
| newstest2019-frde.fr.de 	| 27.9 	| 0.595 |
| Tatoeba.fr.de 	| 49.1 	| 0.676 |


model name: opus-mt-fr-de


model author: Helsinki-NLP


task: translation


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


### opus-mt-de-pon


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.pon 	| 21.0 	| 0.442 |


model name: opus-mt-de-pon


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


tags:


### opus-mt-bem-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bem.fi 	| 22.8 	| 0.439 |


model name: opus-mt-bem-fi


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


language:


- af
- ru


- translation


## license: apache-2.0


### af-ru


* source group: Afrikaans
* target group: Russian
* OPUS readme: [afr-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md)
* model: transformer-align
* source language(s): afr
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-09-10.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.zip)
* test set translations: [opus-2020-09-10.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.test.txt)
* test set scores: [opus-2020-09-10.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afr.rus 	| 38.2 	| 0.580 |


### System Info:


- hf_name: af-ru
- source_languages: afr
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/afr-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['af', 'ru']
- src_constituents: ('Afrikaans', {'afr'})
- tgt_constituents: ('Russian', {'rus'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: afr-rus
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/afr-rus/opus-2020-09-10.test.txt
- src_alpha3: afr
- tgt_alpha3: rus
- chrF2_score: 0.58
- bleu: 38.2
- brevity_penalty: 0.992
- ref_len: 1213
- src_name: Afrikaans
- tgt_name: Russian
- train_date: 2020-01-01 00:00:00
- src_alpha2: af
- tgt_alpha2: ru
- prefer_old: False
- short_pair: af-ru
- helsinki_git_sha: e8c308a96c1bd0b4ca6a8ce174783f93c3e30f25
- transformers_git_sha: 31245775e5772fbded1ac07ed89fbba3b5af0cb9
- port_machine: LM0-400-22516.local
- port_time: 2021-02-12-14:52


model name: opus-tatoeba-af-ru


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-uk-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.uk.es 	| 50.4 	| 0.680 |


model name: opus-mt-uk-es


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


language:


- tl
- de


- translation


## license: apache-2.0


### tgl-deu


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.deu 	| 22.7 	| 0.473 |


### System Info:


- hf_name: tgl-deu
- source_languages: tgl
- target_languages: deu
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-deu/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'de']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'deu'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-deu/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: deu
- short_pair: tl-de
- chrF2_score: 0.473
- bleu: 22.7
- brevity_penalty: 0.9690000000000001
- ref_len: 2453.0
- src_name: Tagalog
- tgt_name: German
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: de
- prefer_old: False
- long_pair: tgl-deu
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tl-de


model author: Helsinki-NLP


task: translation


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


- ka
- ru


tags:


### kat-rus


* source group: Georgian
* target group: Russian
* OPUS readme: [kat-rus](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md)
* model: transformer-align
* source language(s): kat
* target language(s): rus
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-16.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip)
* test set translations: [opus-2020-06-16.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt)
* test set scores: [opus-2020-06-16.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kat.rus 	| 38.2 	| 0.604 |


- hf_name: kat-rus
- source_languages: kat
- target_languages: rus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kat-rus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ka', 'ru']
- src_constituents: {'kat'}
- tgt_constituents: {'rus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm12k,spm12k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kat-rus/opus-2020-06-16.test.txt
- src_alpha3: kat
- tgt_alpha3: rus
- short_pair: ka-ru
- chrF2_score: 0.604
- bleu: 38.2
- brevity_penalty: 0.996
- ref_len: 3899.0
- src_name: Georgian
- tgt_name: Russian
- train_date: 2020-06-16
- src_alpha2: ka
- tgt_alpha2: ru
- prefer_old: False
- long_pair: kat-rus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ka-ru


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


- translation
license: apache-2.0


### opus-mt-efi-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.efi.fi 	| 23.6 	| 0.450 |


model name: opus-mt-efi-fi


model author: Helsinki-NLP


task: translation


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


### opus-mt-lv-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lv.sv 	| 22.0 	| 0.444 |


model name: opus-mt-lv-sv


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


tags:


### opus-mt-sv-bcl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.bcl 	| 39.5 	| 0.607 |


model name: opus-mt-sv-bcl


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


- translation
license: apache-2.0


### opus-mt-fr-ts


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ts 	| 31.4 	| 0.525 |


model name: opus-mt-fr-ts


model author: Helsinki-NLP


task: translation


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


### opus-mt-hu-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.hu.fr 	| 50.3 	| 0.660 |


model name: opus-mt-hu-fr


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


language:


- nl
- eo


tags:


- translation


## license: apache-2.0


### nld-epo


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


## Benchmarks