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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.fr 	| 27.8 	| 0.455 |


model name: opus-mt-gaa-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-ln


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.ln 	| 30.5 	| 0.527 |


model name: opus-mt-fr-ln


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


### opus-mt-sv-kwy


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.kwy 	| 21.4 	| 0.437 |


model name: opus-mt-sv-kwy


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


### opus-mt-sv-swc


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.swc 	| 30.1 	| 0.536 |


model name: opus-mt-sv-swc


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-tvl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tvl 	| 34.4 	| 0.521 |


model name: opus-mt-sv-tvl


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


### opus-mt-sv-mfe


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mfe 	| 24.3 	| 0.445 |


model name: opus-mt-sv-mfe


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


### opus-mt-toi-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.toi.fr 	| 26.5 	| 0.432 |


model name: opus-mt-toi-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-pl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.pl 	| 40.7 	| 0.625 |


model name: opus-mt-fr-pl


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


### opus-mt-xh-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.xh.sv 	| 33.1 	| 0.522 |


model name: opus-mt-xh-sv


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


### opus-mt-es-pon


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.pon 	| 21.6 	| 0.448 |


model name: opus-mt-es-pon


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-chk-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.chk.fr 	| 22.4 	| 0.387 |


model name: opus-mt-chk-fr


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


### opus-mt-lue-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lue.sv 	| 23.7 	| 0.412 |


model name: opus-mt-lue-sv


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


### opus-mt-sv-pag


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pag 	| 29.3 	| 0.522 |


model name: opus-mt-sv-pag


model author: Helsinki-NLP


task: translation


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


language:


- gl
- es


tags:


- translation


## license: apache-2.0


### glg-spa


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.glg.spa 	| 72.2 	| 0.836 |


### System Info:


- hf_name: glg-spa
- source_languages: glg
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/glg-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['gl', 'es']
- src_constituents: {'glg'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/glg-spa/opus-2020-06-16.test.txt
- src_alpha3: glg
- tgt_alpha3: spa
- short_pair: gl-es
- chrF2_score: 0.836
- bleu: 72.2
- brevity_penalty: 0.982
- ref_len: 17443.0
- src_name: Galician
- tgt_name: Spanish
- train_date: 2020-06-16
- src_alpha2: gl
- tgt_alpha2: es
- prefer_old: False
- long_pair: glg-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gl-es


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


- hi
- ur


### hin-urd


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.hin.urd 	| 12.4 	| 0.393 |


- hf_name: hin-urd
- source_languages: hin
- target_languages: urd
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/hin-urd/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['hi', 'ur']
- src_constituents: {'hin'}
- tgt_constituents: {'urd'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/hin-urd/opus-2020-06-16.test.txt
- src_alpha3: hin
- tgt_alpha3: urd
- short_pair: hi-ur
- chrF2_score: 0.39299999999999996
- bleu: 12.4
- brevity_penalty: 1.0
- ref_len: 1618.0
- src_name: Hindi
- tgt_name: Urdu
- train_date: 2020-06-16
- src_alpha2: hi
- tgt_alpha2: ur
- prefer_old: False
- long_pair: hin-urd
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-hi-ur


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-gaa-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.gaa.de 	| 23.3 	| 0.438 |


model name: opus-mt-gaa-de


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


### opus-mt-fi-ru


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.ru 	| 46.3 	| 0.670 |


model name: opus-mt-fi-ru


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


language:


- ru
- he


- translation


## license: apache-2.0


### ru-he


* source group: Russian
* target group: Hebrew
* OPUS readme: [rus-heb](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md)
* model: transformer
* source language(s): rus
* target language(s): heb
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-10-04.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip)
* test set translations: [opus-2020-10-04.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt)
* test set scores: [opus-2020-10-04.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.heb 	| 36.1 	| 0.569 |


### System Info:


- hf_name: ru-he
- source_languages: rus
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'he']
- src_constituents: ('Russian', {'rus'})
- tgt_constituents: ('Hebrew', {'heb'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: rus-heb
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-heb/opus-2020-10-04.test.txt
- src_alpha3: rus
- tgt_alpha3: heb
- chrF2_score: 0.569
- bleu: 36.1
- brevity_penalty: 0.9990000000000001
- ref_len: 15028.0
- src_name: Russian
- tgt_name: Hebrew
- train_date: 2020-10-04 00:00:00
- src_alpha2: ru
- tgt_alpha2: he
- prefer_old: False
- short_pair: ru-he
- helsinki_git_sha: 61fd6908b37d9a7b21cc3e27c1ae1fccedc97561
- transformers_git_sha: b0a907615aca0d728a9bc90f16caef0848f6a435
- port_machine: LM0-400-22516.local
- port_time: 2020-10-26-16:16


model name: opus-mt-ru-he


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-mt-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mt.es 	| 27.1 	| 0.471 |


model name: opus-mt-mt-es


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


### opus-mt-ig-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.fi 	| 23.5 	| 0.451 |


model name: opus-mt-ig-fi


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


### opus-mt-sn-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sn.es 	| 32.5 	| 0.509 |


model name: opus-mt-sn-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-is


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.is 	| 25.3 	| 0.518 |


model name: opus-mt-en-is


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


### opus-mt-sv-gaa


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.gaa 	| 31.3 	| 0.522 |


model name: opus-mt-sv-gaa


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


### opus-mt-de-ZH


* source languages: de
* target languages: cmn,cn,yue,ze_zh,zh_cn,zh_CN,zh_HK,zh_tw,zh_TW,zh_yue,zhs,zht,zh
* OPUS readme: [de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/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-2020-01-20.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.zip)
* test set translations: [opus-2020-01-20.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.test.txt)
* test set scores: [opus-2020-01-20.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-cmn+cn+yue+ze_zh+zh_cn+zh_CN+zh_HK+zh_tw+zh_TW+zh_yue+zhs+zht+zh/opus-2020-01-20.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| bible-uedin.de.zh 	| 24.4 	| 0.335 |


model name: opus-mt-de-ZH


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-et-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.et.de 	| 22.4 	| 0.474 |


model name: opus-mt-et-de


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


### opus-mt-pag-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.pag.sv 	| 29.8 	| 0.492 |


model name: opus-mt-pag-sv


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


language:


- tl
- es


- translation


## license: apache-2.0


### tgl-spa


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tgl.spa 	| 31.6 	| 0.531 |


### System Info:


- hf_name: tgl-spa
- source_languages: tgl
- target_languages: spa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tgl-spa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tl', 'es']
- src_constituents: {'tgl_Latn'}
- tgt_constituents: {'spa'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tgl-spa/opus-2020-06-17.test.txt
- src_alpha3: tgl
- tgt_alpha3: spa
- short_pair: tl-es
- chrF2_score: 0.531
- bleu: 31.6
- brevity_penalty: 0.997
- ref_len: 4327.0
- src_name: Tagalog
- tgt_name: Spanish
- train_date: 2020-06-17
- src_alpha2: tl
- tgt_alpha2: es
- prefer_old: False
- long_pair: tgl-spa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tl-es


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.sv 	| 60.1 	| 0.744 |


model name: opus-mt-fr-sv


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


### opus-mt-ru-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newstest2012.ru.es 	| 26.1 	| 0.527 |
| newstest2013.ru.es 	| 28.2 	| 0.538 |
| Tatoeba.ru.es 	| 49.4 	| 0.675 |


model name: opus-mt-ru-es


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


### opus-mt-fi-ts


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ts 	| 33.6 	| 0.563 |


model name: opus-mt-fi-ts


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-ilo-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.sv 	| 31.9 	| 0.515 |


model name: opus-mt-ilo-sv


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


### opus-mt-mg-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| GlobalVoices.mg.es 	| 23.1 	| 0.480 |


model name: opus-mt-mg-es


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


### opus-mt-en-lu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.lu 	| 34.1 	| 0.564 |


model name: opus-mt-en-lu


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-et


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.et 	| 20.7 	| 0.466 |


model name: opus-mt-es-et


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


language:


- ja
- ms


- translation


## license: apache-2.0


### jpn-msa


* source group: Japanese
* target group: Malay (macrolanguage)
* OPUS readme: [jpn-msa](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md)
* model: transformer-align
* source language(s): jpn jpn_Hani jpn_Hira jpn_Kana
* target language(s): ind zlm_Latn zsm_Latn
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.msa 	| 21.5 	| 0.469 |


### System Info:


- hf_name: jpn-msa
- source_languages: jpn
- target_languages: msa
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-msa/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'ms']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-msa/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: msa
- short_pair: ja-ms
- chrF2_score: 0.469
- bleu: 21.5
- brevity_penalty: 0.9259999999999999
- ref_len: 17028.0
- src_name: Japanese
- tgt_name: Malay (macrolanguage)
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: ms
- prefer_old: False
- long_pair: jpn-msa
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-ms


model author: Helsinki-NLP


task: translation


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


- ja
- pl


tags:


### jpn-pol


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.pol 	| 15.7 	| 0.386 |


- hf_name: jpn-pol
- source_languages: jpn
- target_languages: pol
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-pol/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'pl']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'pol'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-pol/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: pol
- short_pair: ja-pl
- chrF2_score: 0.386
- bleu: 15.7
- brevity_penalty: 1.0
- ref_len: 69904.0
- src_name: Japanese
- tgt_name: Polish
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: pl
- prefer_old: False
- long_pair: jpn-pol
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-pl


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


- translation
license: apache-2.0


### opus-mt-fi-sl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.sl 	| 24.1 	| 0.481 |


model name: opus-mt-fi-sl


model author: Helsinki-NLP


task: translation


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


### opus-mt-bzs-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bzs.fi 	| 24.7 	| 0.464 |


model name: opus-mt-bzs-fi


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


tags:


### opus-mt-en-gl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.gl 	| 36.4 	| 0.572 |


model name: opus-mt-en-gl


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


language:


- nl
- uk


- translation


## license: apache-2.0


### nld-ukr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nld.ukr 	| 40.8 	| 0.619 |


### System Info:


- hf_name: nld-ukr
- source_languages: nld
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nld-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['nl', 'uk']
- src_constituents: {'nld'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nld-ukr/opus-2020-06-17.test.txt
- src_alpha3: nld
- tgt_alpha3: ukr
- short_pair: nl-uk
- chrF2_score: 0.619
- bleu: 40.8
- brevity_penalty: 0.992
- ref_len: 51674.0
- src_name: Dutch
- tgt_name: Ukrainian
- train_date: 2020-06-17
- src_alpha2: nl
- tgt_alpha2: uk
- prefer_old: False
- long_pair: nld-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-nl-uk


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-mh


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mh 	| 20.8 	| 0.404 |


model name: opus-mt-fi-mh


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


### opus-mt-sv-sk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.sk 	| 30.7 	| 0.516 |


model name: opus-mt-sv-sk


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


### opus-mt-en-to


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.to 	| 56.3 	| 0.689 |


model name: opus-mt-en-to


model author: Helsinki-NLP


task: translation


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


language:


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


tags:


- translation


## license: apache-2.0


### eng-itc


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2016-enro-engron.eng.ron 	| 27.1 	| 0.565 |
| newsdiscussdev2015-enfr-engfra.eng.fra 	| 29.9 	| 0.574 |
| newsdiscusstest2015-enfr-engfra.eng.fra 	| 35.3 	| 0.609 |
| newssyscomb2009-engfra.eng.fra 	| 27.7 	| 0.567 |
| newssyscomb2009-engita.eng.ita 	| 28.6 	| 0.586 |
| newssyscomb2009-engspa.eng.spa 	| 29.8 	| 0.569 |
| news-test2008-engfra.eng.fra 	| 25.0 	| 0.536 |
| news-test2008-engspa.eng.spa 	| 27.1 	| 0.548 |
| newstest2009-engfra.eng.fra 	| 26.7 	| 0.557 |
| newstest2009-engita.eng.ita 	| 28.9 	| 0.583 |
| newstest2009-engspa.eng.spa 	| 28.9 	| 0.567 |
| newstest2010-engfra.eng.fra 	| 29.6 	| 0.574 |
| newstest2010-engspa.eng.spa 	| 33.8 	| 0.598 |
| newstest2011-engfra.eng.fra 	| 30.9 	| 0.590 |
| newstest2011-engspa.eng.spa 	| 34.8 	| 0.598 |
| newstest2012-engfra.eng.fra 	| 29.1 	| 0.574 |
| newstest2012-engspa.eng.spa 	| 34.9 	| 0.600 |
| newstest2013-engfra.eng.fra 	| 30.1 	| 0.567 |
| newstest2013-engspa.eng.spa 	| 31.8 	| 0.576 |
| newstest2016-enro-engron.eng.ron 	| 25.9 	| 0.548 |
| Tatoeba-test.eng-arg.eng.arg 	| 1.6 	| 0.120 |
| Tatoeba-test.eng-ast.eng.ast 	| 17.2 	| 0.389 |
| Tatoeba-test.eng-cat.eng.cat 	| 47.6 	| 0.668 |
| Tatoeba-test.eng-cos.eng.cos 	| 4.3 	| 0.287 |
| Tatoeba-test.eng-egl.eng.egl 	| 0.9 	| 0.101 |
| Tatoeba-test.eng-ext.eng.ext 	| 8.7 	| 0.287 |
| Tatoeba-test.eng-fra.eng.fra 	| 44.9 	| 0.635 |
| Tatoeba-test.eng-frm.eng.frm 	| 1.0 	| 0.225 |
| Tatoeba-test.eng-gcf.eng.gcf 	| 0.7 	| 0.115 |
| Tatoeba-test.eng-glg.eng.glg 	| 44.9 	| 0.648 |
| Tatoeba-test.eng-hat.eng.hat 	| 30.9 	| 0.533 |
| Tatoeba-test.eng-ita.eng.ita 	| 45.4 	| 0.673 |
| Tatoeba-test.eng-lad.eng.lad 	| 5.6 	| 0.279 |
| Tatoeba-test.eng-lat.eng.lat 	| 12.1 	| 0.380 |
| Tatoeba-test.eng-lij.eng.lij 	| 1.4 	| 0.183 |
| Tatoeba-test.eng-lld.eng.lld 	| 0.5 	| 0.199 |
| Tatoeba-test.eng-lmo.eng.lmo 	| 0.7 	| 0.187 |
| Tatoeba-test.eng-mfe.eng.mfe 	| 83.6 	| 0.909 |
| Tatoeba-test.eng-msa.eng.msa 	| 31.3 	| 0.549 |
| Tatoeba-test.eng.multi 	| 38.0 	| 0.588 |
| Tatoeba-test.eng-mwl.eng.mwl 	| 2.7 	| 0.322 |
| Tatoeba-test.eng-oci.eng.oci 	| 8.2 	| 0.293 |
| Tatoeba-test.eng-pap.eng.pap 	| 46.7 	| 0.663 |
| Tatoeba-test.eng-pms.eng.pms 	| 2.1 	| 0.194 |
| Tatoeba-test.eng-por.eng.por 	| 41.2 	| 0.635 |
| Tatoeba-test.eng-roh.eng.roh 	| 2.6 	| 0.237 |
| Tatoeba-test.eng-ron.eng.ron 	| 40.6 	| 0.632 |
| Tatoeba-test.eng-scn.eng.scn 	| 1.6 	| 0.181 |
| Tatoeba-test.eng-spa.eng.spa 	| 49.5 	| 0.685 |
| Tatoeba-test.eng-vec.eng.vec 	| 1.6 	| 0.223 |
| Tatoeba-test.eng-wln.eng.wln 	| 7.1 	| 0.250 |


### System Info:


- hf_name: eng-itc
- source_languages: eng
- target_languages: itc
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/eng-itc/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['en', 'it', 'ca', 'rm', 'es', 'ro', 'gl', 'sc', 'co', 'wa', 'pt', 'oc', 'an', 'id', 'fr', 'ht', 'itc']
- src_constituents: {'eng'}
- tgt_constituents: {'ita', 'cat', 'roh', 'spa', 'pap', 'bjn', 'lmo', 'mwl', 'lij', 'lat_Latn', 'lad_Latn', 'pcd', 'lat_Grek', 'ext', 'ron', 'ast', 'glg', 'pms', 'zsm_Latn', 'srd', 'gcf_Latn', 'lld_Latn', 'min', 'tmw_Latn', 'cos', 'wln', 'zlm_Latn', 'por', 'egl', 'oci', 'vec', 'arg', 'ind', 'fra', 'hat', 'lad', 'max_Latn', 'frm_Latn', 'scn', 'mfe'}
- src_multilingual: False
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/eng-itc/opus2m-2020-08-01.test.txt
- src_alpha3: eng
- tgt_alpha3: itc
- short_pair: en-itc
- chrF2_score: 0.588
- bleu: 38.0
- brevity_penalty: 0.9670000000000001
- ref_len: 73951.0
- src_name: English
- tgt_name: Italic languages
- train_date: 2020-08-01
- src_alpha2: en
- tgt_alpha2: itc
- prefer_old: False
- long_pair: eng-itc
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-en-itc


tags: pytorch, marian, text2text-generation, en, it, ca, rm, es, ro, gl, sc, co, wa, pt, oc, an, id, fr, ht, itc, transformers, translation, license:apache-2.0, autonlp_compatible


- translation
license: apache-2.0


### opus-mt-fi-tvl


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tvl 	| 33.6 	| 0.517 |


model name: opus-mt-fi-tvl


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-ceb


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ceb 	| 33.9 	| 0.564 |


model name: opus-mt-es-ceb


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


### opus-mt-en-sn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.sn 	| 38.0 	| 0.646 |


model name: opus-mt-en-sn


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


- translation
license: apache-2.0


### opus-mt-ig-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ig.fr 	| 25.6 	| 0.427 |


model name: opus-mt-ig-fr


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-ilo-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ilo.es 	| 30.7 	| 0.496 |


model name: opus-mt-ilo-es


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


### opus-mt-sm-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sm.en 	| 36.1 	| 0.520 |


model name: opus-mt-sm-en


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


- translation
license: apache-2.0


### opus-mt-ro-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ro.fi 	| 25.2 	| 0.521 |


model name: opus-mt-ro-fi


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-de-bzs


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.bzs 	| 21.0 	| 0.389 |


model name: opus-mt-de-bzs


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


language:


- fr
- bg


- translation


## license: apache-2.0


### fra-bul


* source group: French
* target group: Bulgarian
* OPUS readme: [fra-bul](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md)
* model: transformer
* source language(s): fra
* 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/fra-bul/opus-2020-07-03.zip)
* test set translations: [opus-2020-07-03.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt)
* test set scores: [opus-2020-07-03.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.fra.bul 	| 46.3 	| 0.657 |


### System Info:


- hf_name: fra-bul
- source_languages: fra
- target_languages: bul
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/fra-bul/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['fr', 'bg']
- src_constituents: {'fra'}
- 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/fra-bul/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/fra-bul/opus-2020-07-03.test.txt
- src_alpha3: fra
- tgt_alpha3: bul
- short_pair: fr-bg
- chrF2_score: 0.657
- bleu: 46.3
- brevity_penalty: 0.953
- ref_len: 3286.0
- src_name: French
- tgt_name: Bulgarian
- train_date: 2020-07-03
- src_alpha2: fr
- tgt_alpha2: bg
- prefer_old: False
- long_pair: fra-bul
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-fr-bg


model author: Helsinki-NLP


task: translation


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


- de
- ro


tags:


### de-ro


* source group: German
* target group: Romanian
* OPUS readme: [deu-ron](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ron/README.md)
* model: transformer-align
* source language(s): deu
* target language(s): mol ron
* raw source language(s): deu
* raw target language(s): mol ron
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* valid language labels: >>mol<< >>ron<<
* download original weights: [opusTCv20210807-2021-10-22.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ron/opusTCv20210807-2021-10-22.zip)
* test set translations: [opusTCv20210807-2021-10-22.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ron/opusTCv20210807-2021-10-22.test.txt)
* test set scores: [opusTCv20210807-2021-10-22.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ron/opusTCv20210807-2021-10-22.eval.txt)


## Benchmarks


| testset | BLEU  | chr-F | #sent | #words | BP |
|---------|-------|-------|-------|--------|----|
| Tatoeba-test-v2021-08-07.deu-ron 	| 42.0 	| 0.636 	| 1141 	| 7432 	| 0.976 |


- hf_name: de-ro
- source_languages: deu
- target_languages: ron
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-ron/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'ro']
- src_constituents: ('German', {'deu'})
- tgt_constituents: ('Romanian', {'ron'})
- src_multilingual: False
- tgt_multilingual: False
- long_pair: deu-ron
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ron/opusTCv20210807-2021-10-22.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-ron/opusTCv20210807-2021-10-22.test.txt
- src_alpha3: deu
- tgt_alpha3: ron
- chrF2_score: 0.636
- bleu: 42.0
- src_name: German
- tgt_name: Romanian
- train_date: 2021-10-22 00:00:00
- src_alpha2: de
- tgt_alpha2: ro
- prefer_old: False
- short_pair: de-ro
- helsinki_git_sha: 2ef219d5b67f0afb0c6b732cd07001d84181f002
- transformers_git_sha: df1f94eb4a18b1a27d27e32040b60a17410d516e
- port_machine: LM0-400-22516.local
- port_time: 2021-11-08-16:45


model name: opus-tatoeba-de-ro


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


- translation
license: apache-2.0


### opus-mt-tn-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tn.es 	| 29.1 	| 0.479 |


model name: opus-mt-tn-es


model author: Helsinki-NLP


task: translation


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


### opus-mt-es-tll


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tll 	| 20.7 	| 0.434 |


model name: opus-mt-es-tll


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


tags:


### opus-mt-es-yo


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.yo 	| 22.3 	| 0.387 |


model name: opus-mt-es-yo


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


- translation
license: apache-2.0


### opus-mt-st-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.st.fr 	| 30.7 	| 0.490 |


model name: opus-mt-st-fr


model author: Helsinki-NLP


task: translation


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


language:


- ga
- en


tags:


- translation


## license: apache-2.0


### gle-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.gle.eng 	| 51.6 	| 0.672 |


### System Info:


- hf_name: gle-eng
- source_languages: gle
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gle-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ga', 'en']
- src_constituents: {'gle'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gle-eng/opus-2020-06-17.test.txt
- src_alpha3: gle
- tgt_alpha3: eng
- short_pair: ga-en
- chrF2_score: 0.672
- bleu: 51.6
- brevity_penalty: 1.0
- ref_len: 11247.0
- src_name: Irish
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ga
- tgt_alpha2: en
- prefer_old: False
- long_pair: gle-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ga-en


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


- translation
license: apache-2.0


### opus-mt-de-lua


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.lua 	| 23.1 	| 0.467 |


model name: opus-mt-de-lua


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fi-bem


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.bem 	| 21.4 	| 0.465 |


model name: opus-mt-fi-bem


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


### opus-mt-da-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.es 	| 53.7 	| 0.715 |


model name: opus-mt-da-es


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


- translation
license: apache-2.0


### opus-mt-ROMANCE-en


* source languages: fr,fr_BE,fr_CA,fr_FR,wa,frp,oc,ca,rm,lld,fur,lij,lmo,es,es_AR,es_CL,es_CO,es_CR,es_DO,es_EC,es_ES,es_GT,es_HN,es_MX,es_NI,es_PA,es_PE,es_PR,es_SV,es_UY,es_VE,pt,pt_br,pt_BR,pt_PT,gl,lad,an,mwl,it,it_IT,co,nap,scn,vec,sc,ro,la
* target languages: en
* OPUS readme: [fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la-en](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la-en/README.md)
* dataset: opus
* model: transformer
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-04-01.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la-en/opus-2020-04-01.zip)
* test set translations: [opus-2020-04-01.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la-en/opus-2020-04-01.test.txt)
* test set scores: [opus-2020-04-01.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr+fr_BE+fr_CA+fr_FR+wa+frp+oc+ca+rm+lld+fur+lij+lmo+es+es_AR+es_CL+es_CO+es_CR+es_DO+es_EC+es_ES+es_GT+es_HN+es_MX+es_NI+es_PA+es_PE+es_PR+es_SV+es_UY+es_VE+pt+pt_br+pt_BR+pt_PT+gl+lad+an+mwl+it+it_IT+co+nap+scn+vec+sc+ro+la-en/opus-2020-04-01.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.en 	| 62.2 	| 0.750 |


model name: opus-mt-ROMANCE-en


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fi-st


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.st 	| 37.1 	| 0.570 |


model name: opus-mt-fi-st


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


### opus-mt-iso-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.iso.fi 	| 23.0 	| 0.443 |


model name: opus-mt-iso-fi


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


- translation
license: apache-2.0


### opus-mt-sv-tw


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.tw 	| 30.7 	| 0.509 |


model name: opus-mt-sv-tw


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fr-lu


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.lu 	| 25.5 	| 0.471 |


model name: opus-mt-fr-lu


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


### opus-mt-sv-lg


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.lg 	| 22.2 	| 0.481 |


model name: opus-mt-sv-lg


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


- translation
license: apache-2.0


### opus-mt-sv-pis


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pis 	| 30.9 	| 0.519 |


model name: opus-mt-sv-pis


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-tzo-es


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tzo.es 	| 20.8 	| 0.381 |


model name: opus-mt-tzo-es


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


### opus-mt-guw-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.fr 	| 29.7 	| 0.479 |


model name: opus-mt-guw-fr


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


- translation
license: apache-2.0


### opus-mt-de-cs


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009.de.cs 	| 22.4 	| 0.499 |
| news-test2008.de.cs 	| 20.2 	| 0.487 |
| newstest2009.de.cs 	| 20.9 	| 0.485 |
| newstest2010.de.cs 	| 22.7 	| 0.510 |
| newstest2011.de.cs 	| 21.2 	| 0.487 |
| newstest2012.de.cs 	| 20.9 	| 0.479 |
| newstest2013.de.cs 	| 23.0 	| 0.500 |
| newstest2019-decs.de.cs 	| 22.5 	| 0.495 |
| Tatoeba.de.cs 	| 42.2 	| 0.625 |


model name: opus-mt-de-cs


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-ln


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ln 	| 27.1 	| 0.508 |


model name: opus-mt-es-ln


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


### opus-mt-ha-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ha.fr 	| 24.3 	| 0.415 |


model name: opus-mt-ha-fr


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


- translation
license: apache-2.0


### opus-mt-sv-hil


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.hil 	| 38.2 	| 0.610 |


model name: opus-mt-sv-hil


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-hil-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.hil.fi 	| 29.9 	| 0.547 |


model name: opus-mt-hil-fi


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


### opus-mt-yo-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yo.fi 	| 21.5 	| 0.434 |


model name: opus-mt-yo-fi


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


language:


- ko
- en


- translation


## license: apache-2.0


### kor-eng


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.kor.eng 	| 41.3 	| 0.588 |


### System Info:


- hf_name: kor-eng
- source_languages: kor
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/kor-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ko', 'en']
- src_constituents: {'kor_Hani', 'kor_Hang', 'kor_Latn', 'kor'}
- tgt_constituents: {'eng'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/kor-eng/opus-2020-06-17.test.txt
- src_alpha3: kor
- tgt_alpha3: eng
- short_pair: ko-en
- chrF2_score: 0.588
- bleu: 41.3
- brevity_penalty: 0.9590000000000001
- ref_len: 17711.0
- src_name: Korean
- tgt_name: English
- train_date: 2020-06-17
- src_alpha2: ko
- tgt_alpha2: en
- prefer_old: False
- long_pair: kor-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ko-en


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-ht


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ht 	| 23.3 	| 0.407 |


model name: opus-mt-es-ht


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


### opus-mt-en-pis


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.pis 	| 38.3 	| 0.571 |


model name: opus-mt-en-pis


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


### opus-mt-sv-run


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.run 	| 24.4 	| 0.502 |


model name: opus-mt-sv-run


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-swc


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.swc 	| 26.0 	| 0.490 |


model name: opus-mt-es-swc


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


language:


- uk
- de


- translation


## license: apache-2.0


### ukr-deu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.deu 	| 48.2 	| 0.661 |


### System Info: