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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.cs.fi 	| 25.5 	| 0.523 |


model name: opus-mt-cs-fi


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-tn


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tn 	| 32.2 	| 0.528 |


model name: opus-mt-es-tn


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


### opus-mt-fr-ro


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.ro 	| 42.1 	| 0.640 |


model name: opus-mt-fr-ro


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


### opus-mt-en-hil


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.hil 	| 49.4 	| 0.696 |


model name: opus-mt-en-hil


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fi-tpi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.tpi 	| 30.5 	| 0.504 |


model name: opus-mt-fi-tpi


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


### opus-mt-sv-zne


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.zne 	| 23.8 	| 0.474 |


model name: opus-mt-sv-zne


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


### opus-mt-fi-ht


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ht 	| 27.1 	| 0.453 |


model name: opus-mt-fi-ht


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-bi-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.bi.es 	| 21.1 	| 0.388 |


model name: opus-mt-bi-es


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


### opus-mt-fi-id


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.id 	| 33.8 	| 0.565 |


model name: opus-mt-fi-id


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


### opus-mt-es-sl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.sl 	| 21.7 	| 0.455 |


model name: opus-mt-es-sl


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-sk


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.sk 	| 36.8 	| 0.578 |


model name: opus-mt-en-sk


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


### opus-mt-ts-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ts.fi 	| 27.7 	| 0.509 |


model name: opus-mt-ts-fi


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


### opus-mt-ber-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ber.fr 	| 60.2 	| 0.754 |


model name: opus-mt-ber-fr


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-es-ny


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ny 	| 22.9 	| 0.494 |


model name: opus-mt-es-ny


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


language:


- de
- af


- translation


## license: apache-2.0


### deu-afr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.deu.afr 	| 51.3 	| 0.690 |


### System Info:


- hf_name: deu-afr
- source_languages: deu
- target_languages: afr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/deu-afr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['de', 'af']
- src_constituents: {'deu'}
- tgt_constituents: {'afr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/deu-afr/opus-2020-06-17.test.txt
- src_alpha3: deu
- tgt_alpha3: afr
- short_pair: de-af
- chrF2_score: 0.69
- bleu: 51.3
- brevity_penalty: 1.0
- ref_len: 9507.0
- src_name: German
- tgt_name: Afrikaans
- train_date: 2020-06-17
- src_alpha2: de
- tgt_alpha2: af
- prefer_old: False
- long_pair: deu-afr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-de-af


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-eo-de


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.de 	| 45.5 	| 0.644 |


model name: opus-mt-eo-de


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


language:


- ru
- eu


- translation


## license: apache-2.0


### rus-eus


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.eus 	| 29.7 	| 0.539 |


### System Info:


- hf_name: rus-eus
- source_languages: rus
- target_languages: eus
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-eus/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'eu']
- src_constituents: {'rus'}
- tgt_constituents: {'eus'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-eus/opus-2020-06-16.test.txt
- src_alpha3: rus
- tgt_alpha3: eus
- short_pair: ru-eu
- chrF2_score: 0.539
- bleu: 29.7
- brevity_penalty: 0.9440000000000001
- ref_len: 2373.0
- src_name: Russian
- tgt_name: Basque
- train_date: 2020-06-16
- src_alpha2: ru
- tgt_alpha2: eu
- prefer_old: False
- long_pair: rus-eus
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-eu


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-de-ilo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.de.ilo 	| 29.8 	| 0.533 |


model name: opus-mt-de-ilo


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


### opus-mt-tll-sv


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tll.sv 	| 25.6 	| 0.436 |


model name: opus-mt-tll-sv


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


### opus-mt-fr-iso


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.iso 	| 26.7 	| 0.429 |


model name: opus-mt-fr-iso


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-mh


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.mh 	| 23.8 	| 0.434 |


model name: opus-mt-sv-mh


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


### opus-mt-en-ca


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.ca 	| 47.2 	| 0.665 |


model name: opus-mt-en-ca


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


### opus-mt-fr-efi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fr.efi 	| 26.9 	| 0.462 |


model name: opus-mt-fr-efi


model author: Helsinki-NLP


task: translation


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


language:


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


tags:


- translation


## license: apache-2.0


### sla-eng


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-ceseng.ces.eng 	| 26.7 	| 0.542 |
| newstest2009-ceseng.ces.eng 	| 25.2 	| 0.534 |
| newstest2010-ceseng.ces.eng 	| 25.9 	| 0.545 |
| newstest2011-ceseng.ces.eng 	| 26.8 	| 0.544 |
| newstest2012-ceseng.ces.eng 	| 25.6 	| 0.536 |
| newstest2012-ruseng.rus.eng 	| 32.5 	| 0.588 |
| newstest2013-ceseng.ces.eng 	| 28.8 	| 0.556 |
| newstest2013-ruseng.rus.eng 	| 26.4 	| 0.532 |
| newstest2014-csen-ceseng.ces.eng 	| 31.4 	| 0.591 |
| newstest2014-ruen-ruseng.rus.eng 	| 29.6 	| 0.576 |
| newstest2015-encs-ceseng.ces.eng 	| 28.2 	| 0.545 |
| newstest2015-enru-ruseng.rus.eng 	| 28.1 	| 0.551 |
| newstest2016-encs-ceseng.ces.eng 	| 30.0 	| 0.567 |
| newstest2016-enru-ruseng.rus.eng 	| 27.4 	| 0.548 |
| newstest2017-encs-ceseng.ces.eng 	| 26.5 	| 0.537 |
| newstest2017-enru-ruseng.rus.eng 	| 31.0 	| 0.574 |
| newstest2018-encs-ceseng.ces.eng 	| 27.9 	| 0.548 |
| newstest2018-enru-ruseng.rus.eng 	| 26.8 	| 0.545 |
| newstest2019-ruen-ruseng.rus.eng 	| 29.1 	| 0.562 |
| Tatoeba-test.bel-eng.bel.eng 	| 42.5 	| 0.609 |
| Tatoeba-test.bul-eng.bul.eng 	| 55.4 	| 0.697 |
| Tatoeba-test.ces-eng.ces.eng 	| 53.1 	| 0.688 |
| Tatoeba-test.csb-eng.csb.eng 	| 23.1 	| 0.446 |
| Tatoeba-test.dsb-eng.dsb.eng 	| 31.1 	| 0.467 |
| Tatoeba-test.hbs-eng.hbs.eng 	| 56.1 	| 0.702 |
| Tatoeba-test.hsb-eng.hsb.eng 	| 46.2 	| 0.597 |
| Tatoeba-test.mkd-eng.mkd.eng 	| 54.5 	| 0.680 |
| Tatoeba-test.multi.eng 	| 53.2 	| 0.683 |
| Tatoeba-test.orv-eng.orv.eng 	| 12.1 	| 0.292 |
| Tatoeba-test.pol-eng.pol.eng 	| 51.1 	| 0.671 |
| Tatoeba-test.rue-eng.rue.eng 	| 19.6 	| 0.389 |
| Tatoeba-test.rus-eng.rus.eng 	| 54.1 	| 0.686 |
| Tatoeba-test.slv-eng.slv.eng 	| 43.4 	| 0.610 |
| Tatoeba-test.ukr-eng.ukr.eng 	| 53.8 	| 0.685 |


### System Info:


- hf_name: sla-eng
- source_languages: sla
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/sla-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['be', 'hr', 'mk', 'cs', 'ru', 'pl', 'bg', 'uk', 'sl', 'sla', 'en']
- src_constituents: {'bel', 'hrv', 'orv_Cyrl', 'mkd', 'bel_Latn', 'srp_Latn', 'bul_Latn', 'ces', 'bos_Latn', 'csb_Latn', 'dsb', 'hsb', 'rus', 'srp_Cyrl', 'pol', 'rue', 'bul', 'ukr', 'slv'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/sla-eng/opus2m-2020-08-01.test.txt
- src_alpha3: sla
- tgt_alpha3: eng
- short_pair: sla-en
- chrF2_score: 0.6829999999999999
- bleu: 53.2
- brevity_penalty: 0.9740000000000001
- ref_len: 70897.0
- src_name: Slavic languages
- tgt_name: English
- train_date: 2020-08-01
- src_alpha2: sla
- tgt_alpha2: en
- prefer_old: False
- long_pair: sla-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-sla-en


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


- uk
- pt


### ukr-por


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ukr.por 	| 38.1 	| 0.601 |


- hf_name: ukr-por
- source_languages: ukr
- target_languages: por
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ukr-por/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['uk', 'pt']
- src_constituents: {'ukr'}
- tgt_constituents: {'por'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ukr-por/opus-2020-06-17.test.txt
- src_alpha3: ukr
- tgt_alpha3: por
- short_pair: uk-pt
- chrF2_score: 0.601
- bleu: 38.1
- brevity_penalty: 0.981
- ref_len: 21315.0
- src_name: Ukrainian
- tgt_name: Portuguese
- train_date: 2020-06-17
- src_alpha2: uk
- tgt_alpha2: pt
- prefer_old: False
- long_pair: ukr-por
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-uk-pt


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-fr-uk


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fr.uk 	| 39.4 	| 0.581 |


model name: opus-mt-fr-uk


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


### opus-mt-eo-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.eo.fr 	| 50.9 	| 0.675 |


model name: opus-mt-eo-fr


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


### opus-mt-en-umb


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.umb 	| 28.6 	| 0.510 |


model name: opus-mt-en-umb


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-he-fi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.he.fi 	| 23.3 	| 0.492 |


model name: opus-mt-he-fi


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


language:


- tr
- az


- translation


## license: apache-2.0


### tur-aze


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.tur.aze 	| 27.7 	| 0.551 |


### System Info:


- hf_name: tur-aze
- source_languages: tur
- target_languages: aze
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/tur-aze/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['tr', 'az']
- src_constituents: {'tur'}
- tgt_constituents: {'aze_Latn'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/tur-aze/opus-2020-06-16.test.txt
- src_alpha3: tur
- tgt_alpha3: aze
- short_pair: tr-az
- chrF2_score: 0.551
- bleu: 27.7
- brevity_penalty: 1.0
- ref_len: 5436.0
- src_name: Turkish
- tgt_name: Azerbaijani
- train_date: 2020-06-16
- src_alpha2: tr
- tgt_alpha2: az
- prefer_old: False
- long_pair: tur-aze
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-tr-az


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-pon


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.pon 	| 26.0 	| 0.491 |


model name: opus-mt-sv-pon


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


### opus-mt-ase-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ase.sv 	| 39.7 	| 0.576 |


model name: opus-mt-ase-sv


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


### opus-mt-war-sv


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.war.sv 	| 31.4 	| 0.505 |


model name: opus-mt-war-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-sv-uk


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.uk 	| 24.0 	| 0.447 |


model name: opus-mt-sv-uk


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


language:


- ja
- hu


- translation


## license: apache-2.0


### jpn-hun


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.jpn.hun 	| 12.2 	| 0.364 |


### System Info:


- hf_name: jpn-hun
- source_languages: jpn
- target_languages: hun
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/jpn-hun/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ja', 'hu']
- src_constituents: {'jpn_Hang', 'jpn', 'jpn_Yiii', 'jpn_Kana', 'jpn_Hani', 'jpn_Bopo', 'jpn_Latn', 'jpn_Hira'}
- tgt_constituents: {'hun'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/jpn-hun/opus-2020-06-17.test.txt
- src_alpha3: jpn
- tgt_alpha3: hun
- short_pair: ja-hu
- chrF2_score: 0.364
- bleu: 12.2
- brevity_penalty: 1.0
- ref_len: 18625.0
- src_name: Japanese
- tgt_name: Hungarian
- train_date: 2020-06-17
- src_alpha2: ja
- tgt_alpha2: hu
- prefer_old: False
- long_pair: jpn-hun
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ja-hu


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-en-tpi


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tpi 	| 38.7 	| 0.568 |


model name: opus-mt-en-tpi


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


### opus-mt-fse-fi


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fse.fi 	| 90.2 	| 0.943 |


model name: opus-mt-fse-fi


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


### opus-mt-sv-ve


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.ve 	| 26.4 	| 0.496 |


model name: opus-mt-sv-ve


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-kqn-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.kqn.fr 	| 23.2 	| 0.400 |


model name: opus-mt-kqn-fr


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


### opus-mt-guw-en


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.guw.en 	| 44.8 	| 0.601 |


model name: opus-mt-guw-en


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


language:


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


- translation


## license: apache-2.0


### gem-gem


* source group: Germanic languages
* target group: Germanic languages
* OPUS readme: [gem-gem](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md)
* model: transformer
* source language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* target language(s): afr ang_Latn dan deu eng enm_Latn fao frr fry gos got_Goth gsw isl ksh ltz nds nld nno nob nob_Hebr non_Latn pdc sco stq swe swg yid
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-07-27.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip)
* test set translations: [opus-2020-07-27.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt)
* test set scores: [opus-2020-07-27.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newssyscomb2009-deueng.deu.eng 	| 24.5 	| 0.519 |
| newssyscomb2009-engdeu.eng.deu 	| 18.7 	| 0.495 |
| news-test2008-deueng.deu.eng 	| 22.8 	| 0.509 |
| news-test2008-engdeu.eng.deu 	| 18.6 	| 0.485 |
| newstest2009-deueng.deu.eng 	| 22.2 	| 0.507 |
| newstest2009-engdeu.eng.deu 	| 18.3 	| 0.491 |
| newstest2010-deueng.deu.eng 	| 24.8 	| 0.537 |
| newstest2010-engdeu.eng.deu 	| 19.7 	| 0.499 |
| newstest2011-deueng.deu.eng 	| 22.9 	| 0.516 |
| newstest2011-engdeu.eng.deu 	| 18.3 	| 0.485 |
| newstest2012-deueng.deu.eng 	| 23.9 	| 0.524 |
| newstest2012-engdeu.eng.deu 	| 18.5 	| 0.484 |
| newstest2013-deueng.deu.eng 	| 26.3 	| 0.537 |
| newstest2013-engdeu.eng.deu 	| 21.5 	| 0.506 |
| newstest2014-deen-deueng.deu.eng 	| 25.7 	| 0.535 |
| newstest2015-ende-deueng.deu.eng 	| 27.3 	| 0.542 |
| newstest2015-ende-engdeu.eng.deu 	| 24.2 	| 0.534 |
| newstest2016-ende-deueng.deu.eng 	| 31.8 	| 0.584 |
| newstest2016-ende-engdeu.eng.deu 	| 28.4 	| 0.564 |
| newstest2017-ende-deueng.deu.eng 	| 27.6 	| 0.545 |
| newstest2017-ende-engdeu.eng.deu 	| 22.8 	| 0.527 |
| newstest2018-ende-deueng.deu.eng 	| 34.1 	| 0.593 |
| newstest2018-ende-engdeu.eng.deu 	| 32.7 	| 0.595 |
| newstest2019-deen-deueng.deu.eng 	| 30.6 	| 0.565 |
| newstest2019-ende-engdeu.eng.deu 	| 29.5 	| 0.567 |
| Tatoeba-test.afr-ang.afr.ang 	| 0.0 	| 0.053 |
| Tatoeba-test.afr-dan.afr.dan 	| 57.8 	| 0.907 |
| Tatoeba-test.afr-deu.afr.deu 	| 46.4 	| 0.663 |
| Tatoeba-test.afr-eng.afr.eng 	| 57.4 	| 0.717 |
| Tatoeba-test.afr-enm.afr.enm 	| 11.3 	| 0.285 |
| Tatoeba-test.afr-fry.afr.fry 	| 0.0 	| 0.167 |
| Tatoeba-test.afr-gos.afr.gos 	| 1.5 	| 0.178 |
| Tatoeba-test.afr-isl.afr.isl 	| 29.0 	| 0.760 |
| Tatoeba-test.afr-ltz.afr.ltz 	| 11.2 	| 0.246 |
| Tatoeba-test.afr-nld.afr.nld 	| 53.3 	| 0.708 |
| Tatoeba-test.afr-nor.afr.nor 	| 66.0 	| 0.752 |
| Tatoeba-test.afr-swe.afr.swe 	| 88.0 	| 0.955 |
| Tatoeba-test.afr-yid.afr.yid 	| 59.5 	| 0.443 |
| Tatoeba-test.ang-afr.ang.afr 	| 10.7 	| 0.043 |
| Tatoeba-test.ang-dan.ang.dan 	| 6.3 	| 0.190 |
| Tatoeba-test.ang-deu.ang.deu 	| 1.4 	| 0.212 |
| Tatoeba-test.ang-eng.ang.eng 	| 8.1 	| 0.247 |
| Tatoeba-test.ang-enm.ang.enm 	| 1.7 	| 0.196 |
| Tatoeba-test.ang-fao.ang.fao 	| 10.7 	| 0.105 |
| Tatoeba-test.ang-gos.ang.gos 	| 10.7 	| 0.128 |
| Tatoeba-test.ang-isl.ang.isl 	| 16.0 	| 0.135 |
| Tatoeba-test.ang-ltz.ang.ltz 	| 16.0 	| 0.121 |
| Tatoeba-test.ang-yid.ang.yid 	| 1.5 	| 0.136 |
| Tatoeba-test.dan-afr.dan.afr 	| 22.7 	| 0.655 |
| Tatoeba-test.dan-ang.dan.ang 	| 3.1 	| 0.110 |
| Tatoeba-test.dan-deu.dan.deu 	| 47.4 	| 0.676 |
| Tatoeba-test.dan-eng.dan.eng 	| 54.7 	| 0.704 |
| Tatoeba-test.dan-enm.dan.enm 	| 4.8 	| 0.291 |
| Tatoeba-test.dan-fao.dan.fao 	| 9.7 	| 0.120 |
| Tatoeba-test.dan-gos.dan.gos 	| 3.8 	| 0.240 |
| Tatoeba-test.dan-isl.dan.isl 	| 66.1 	| 0.678 |
| Tatoeba-test.dan-ltz.dan.ltz 	| 78.3 	| 0.563 |
| Tatoeba-test.dan-nds.dan.nds 	| 6.2 	| 0.335 |
| Tatoeba-test.dan-nld.dan.nld 	| 60.0 	| 0.748 |
| Tatoeba-test.dan-nor.dan.nor 	| 68.1 	| 0.812 |
| Tatoeba-test.dan-swe.dan.swe 	| 65.0 	| 0.785 |
| Tatoeba-test.dan-swg.dan.swg 	| 2.6 	| 0.182 |
| Tatoeba-test.dan-yid.dan.yid 	| 9.3 	| 0.226 |
| Tatoeba-test.deu-afr.deu.afr 	| 50.3 	| 0.682 |
| Tatoeba-test.deu-ang.deu.ang 	| 0.5 	| 0.118 |
| Tatoeba-test.deu-dan.deu.dan 	| 49.6 	| 0.679 |
| Tatoeba-test.deu-eng.deu.eng 	| 43.4 	| 0.618 |
| Tatoeba-test.deu-enm.deu.enm 	| 2.2 	| 0.159 |
| Tatoeba-test.deu-frr.deu.frr 	| 0.4 	| 0.156 |
| Tatoeba-test.deu-fry.deu.fry 	| 10.7 	| 0.355 |
| Tatoeba-test.deu-gos.deu.gos 	| 0.7 	| 0.183 |
| Tatoeba-test.deu-got.deu.got 	| 0.3 	| 0.010 |
| Tatoeba-test.deu-gsw.deu.gsw 	| 1.1 	| 0.130 |
| Tatoeba-test.deu-isl.deu.isl 	| 24.3 	| 0.504 |
| Tatoeba-test.deu-ksh.deu.ksh 	| 0.9 	| 0.173 |
| Tatoeba-test.deu-ltz.deu.ltz 	| 15.6 	| 0.304 |
| Tatoeba-test.deu-nds.deu.nds 	| 21.2 	| 0.469 |
| Tatoeba-test.deu-nld.deu.nld 	| 47.1 	| 0.657 |
| Tatoeba-test.deu-nor.deu.nor 	| 43.9 	| 0.646 |
| Tatoeba-test.deu-pdc.deu.pdc 	| 3.0 	| 0.133 |
| Tatoeba-test.deu-sco.deu.sco 	| 12.0 	| 0.296 |
| Tatoeba-test.deu-stq.deu.stq 	| 0.6 	| 0.137 |
| Tatoeba-test.deu-swe.deu.swe 	| 50.6 	| 0.668 |
| Tatoeba-test.deu-swg.deu.swg 	| 0.2 	| 0.137 |
| Tatoeba-test.deu-yid.deu.yid 	| 3.9 	| 0.229 |
| Tatoeba-test.eng-afr.eng.afr 	| 55.2 	| 0.721 |
| Tatoeba-test.eng-ang.eng.ang 	| 4.9 	| 0.118 |
| Tatoeba-test.eng-dan.eng.dan 	| 52.6 	| 0.684 |
| Tatoeba-test.eng-deu.eng.deu 	| 35.4 	| 0.573 |
| Tatoeba-test.eng-enm.eng.enm 	| 1.8 	| 0.223 |
| Tatoeba-test.eng-fao.eng.fao 	| 7.0 	| 0.312 |
| Tatoeba-test.eng-frr.eng.frr 	| 1.2 	| 0.050 |
| Tatoeba-test.eng-fry.eng.fry 	| 15.8 	| 0.381 |
| Tatoeba-test.eng-gos.eng.gos 	| 0.7 	| 0.170 |
| Tatoeba-test.eng-got.eng.got 	| 0.3 	| 0.011 |
| Tatoeba-test.eng-gsw.eng.gsw 	| 0.5 	| 0.126 |
| Tatoeba-test.eng-isl.eng.isl 	| 20.9 	| 0.463 |
| Tatoeba-test.eng-ksh.eng.ksh 	| 1.0 	| 0.141 |
| Tatoeba-test.eng-ltz.eng.ltz 	| 12.8 	| 0.292 |
| Tatoeba-test.eng-nds.eng.nds 	| 18.3 	| 0.428 |
| Tatoeba-test.eng-nld.eng.nld 	| 47.3 	| 0.657 |
| Tatoeba-test.eng-non.eng.non 	| 0.3 	| 0.145 |
| Tatoeba-test.eng-nor.eng.nor 	| 47.2 	| 0.650 |
| Tatoeba-test.eng-pdc.eng.pdc 	| 4.8 	| 0.177 |
| Tatoeba-test.eng-sco.eng.sco 	| 38.1 	| 0.597 |
| Tatoeba-test.eng-stq.eng.stq 	| 2.4 	| 0.288 |
| Tatoeba-test.eng-swe.eng.swe 	| 52.7 	| 0.677 |
| Tatoeba-test.eng-swg.eng.swg 	| 1.1 	| 0.163 |
| Tatoeba-test.eng-yid.eng.yid 	| 4.5 	| 0.223 |
| Tatoeba-test.enm-afr.enm.afr 	| 22.8 	| 0.401 |
| Tatoeba-test.enm-ang.enm.ang 	| 0.4 	| 0.062 |
| Tatoeba-test.enm-dan.enm.dan 	| 51.4 	| 0.782 |
| Tatoeba-test.enm-deu.enm.deu 	| 33.8 	| 0.473 |
| Tatoeba-test.enm-eng.enm.eng 	| 22.4 	| 0.495 |
| Tatoeba-test.enm-fry.enm.fry 	| 16.0 	| 0.173 |
| Tatoeba-test.enm-gos.enm.gos 	| 6.1 	| 0.222 |
| Tatoeba-test.enm-isl.enm.isl 	| 59.5 	| 0.651 |
| Tatoeba-test.enm-ksh.enm.ksh 	| 10.5 	| 0.130 |
| Tatoeba-test.enm-nds.enm.nds 	| 18.1 	| 0.327 |
| Tatoeba-test.enm-nld.enm.nld 	| 38.3 	| 0.546 |
| Tatoeba-test.enm-nor.enm.nor 	| 15.6 	| 0.290 |
| Tatoeba-test.enm-yid.enm.yid 	| 2.3 	| 0.215 |
| Tatoeba-test.fao-ang.fao.ang 	| 2.1 	| 0.035 |
| Tatoeba-test.fao-dan.fao.dan 	| 53.7 	| 0.625 |
| Tatoeba-test.fao-eng.fao.eng 	| 24.7 	| 0.435 |
| Tatoeba-test.fao-gos.fao.gos 	| 12.7 	| 0.116 |
| Tatoeba-test.fao-isl.fao.isl 	| 26.3 	| 0.341 |
| Tatoeba-test.fao-nor.fao.nor 	| 41.9 	| 0.586 |
| Tatoeba-test.fao-swe.fao.swe 	| 0.0 	| 1.000 |
| Tatoeba-test.frr-deu.frr.deu 	| 7.4 	| 0.263 |
| Tatoeba-test.frr-eng.frr.eng 	| 7.0 	| 0.157 |
| Tatoeba-test.frr-fry.frr.fry 	| 4.0 	| 0.112 |
| Tatoeba-test.frr-gos.frr.gos 	| 1.0 	| 0.135 |
| Tatoeba-test.frr-nds.frr.nds 	| 12.4 	| 0.207 |
| Tatoeba-test.frr-nld.frr.nld 	| 10.6 	| 0.227 |
| Tatoeba-test.frr-stq.frr.stq 	| 1.0 	| 0.058 |
| Tatoeba-test.fry-afr.fry.afr 	| 12.7 	| 0.333 |
| Tatoeba-test.fry-deu.fry.deu 	| 30.8 	| 0.555 |
| Tatoeba-test.fry-eng.fry.eng 	| 31.2 	| 0.506 |
| Tatoeba-test.fry-enm.fry.enm 	| 0.0 	| 0.175 |
| Tatoeba-test.fry-frr.fry.frr 	| 1.6 	| 0.091 |
| Tatoeba-test.fry-gos.fry.gos 	| 1.1 	| 0.254 |
| Tatoeba-test.fry-ltz.fry.ltz 	| 30.4 	| 0.526 |
| Tatoeba-test.fry-nds.fry.nds 	| 12.4 	| 0.116 |
| Tatoeba-test.fry-nld.fry.nld 	| 43.4 	| 0.637 |
| Tatoeba-test.fry-nor.fry.nor 	| 47.1 	| 0.607 |
| Tatoeba-test.fry-stq.fry.stq 	| 0.6 	| 0.181 |
| Tatoeba-test.fry-swe.fry.swe 	| 30.2 	| 0.587 |
| Tatoeba-test.fry-yid.fry.yid 	| 3.1 	| 0.173 |
| Tatoeba-test.gos-afr.gos.afr 	| 1.8 	| 0.215 |
| Tatoeba-test.gos-ang.gos.ang 	| 0.0 	| 0.045 |
| Tatoeba-test.gos-dan.gos.dan 	| 4.1 	| 0.236 |
| Tatoeba-test.gos-deu.gos.deu 	| 19.6 	| 0.406 |
| Tatoeba-test.gos-eng.gos.eng 	| 15.1 	| 0.329 |
| Tatoeba-test.gos-enm.gos.enm 	| 5.8 	| 0.271 |
| Tatoeba-test.gos-fao.gos.fao 	| 19.0 	| 0.136 |
| Tatoeba-test.gos-frr.gos.frr 	| 1.3 	| 0.119 |
| Tatoeba-test.gos-fry.gos.fry 	| 17.1 	| 0.388 |
| Tatoeba-test.gos-isl.gos.isl 	| 16.8 	| 0.356 |
| Tatoeba-test.gos-ltz.gos.ltz 	| 3.6 	| 0.174 |
| Tatoeba-test.gos-nds.gos.nds 	| 4.7 	| 0.225 |
| Tatoeba-test.gos-nld.gos.nld 	| 16.3 	| 0.406 |
| Tatoeba-test.gos-stq.gos.stq 	| 0.7 	| 0.154 |
| Tatoeba-test.gos-swe.gos.swe 	| 8.6 	| 0.319 |
| Tatoeba-test.gos-yid.gos.yid 	| 4.4 	| 0.165 |
| Tatoeba-test.got-deu.got.deu 	| 0.2 	| 0.041 |
| Tatoeba-test.got-eng.got.eng 	| 0.2 	| 0.068 |
| Tatoeba-test.got-nor.got.nor 	| 0.6 	| 0.000 |
| Tatoeba-test.gsw-deu.gsw.deu 	| 15.9 	| 0.373 |
| Tatoeba-test.gsw-eng.gsw.eng 	| 14.7 	| 0.320 |
| Tatoeba-test.isl-afr.isl.afr 	| 38.0 	| 0.641 |
| Tatoeba-test.isl-ang.isl.ang 	| 0.0 	| 0.037 |
| Tatoeba-test.isl-dan.isl.dan 	| 67.7 	| 0.836 |
| Tatoeba-test.isl-deu.isl.deu 	| 42.6 	| 0.614 |
| Tatoeba-test.isl-eng.isl.eng 	| 43.5 	| 0.610 |
| Tatoeba-test.isl-enm.isl.enm 	| 12.4 	| 0.123 |
| Tatoeba-test.isl-fao.isl.fao 	| 15.6 	| 0.176 |
| Tatoeba-test.isl-gos.isl.gos 	| 7.1 	| 0.257 |
| Tatoeba-test.isl-nor.isl.nor 	| 53.5 	| 0.690 |
| Tatoeba-test.isl-stq.isl.stq 	| 10.7 	| 0.176 |
| Tatoeba-test.isl-swe.isl.swe 	| 67.7 	| 0.818 |
| Tatoeba-test.ksh-deu.ksh.deu 	| 11.8 	| 0.393 |
| Tatoeba-test.ksh-eng.ksh.eng 	| 4.0 	| 0.239 |
| Tatoeba-test.ksh-enm.ksh.enm 	| 9.5 	| 0.085 |
| Tatoeba-test.ltz-afr.ltz.afr 	| 36.5 	| 0.529 |
| Tatoeba-test.ltz-ang.ltz.ang 	| 0.0 	| 0.043 |
| Tatoeba-test.ltz-dan.ltz.dan 	| 80.6 	| 0.722 |
| Tatoeba-test.ltz-deu.ltz.deu 	| 40.1 	| 0.581 |
| Tatoeba-test.ltz-eng.ltz.eng 	| 36.1 	| 0.511 |
| Tatoeba-test.ltz-fry.ltz.fry 	| 16.5 	| 0.524 |
| Tatoeba-test.ltz-gos.ltz.gos 	| 0.7 	| 0.118 |
| Tatoeba-test.ltz-nld.ltz.nld 	| 40.4 	| 0.535 |
| Tatoeba-test.ltz-nor.ltz.nor 	| 19.1 	| 0.582 |
| Tatoeba-test.ltz-stq.ltz.stq 	| 2.4 	| 0.093 |
| Tatoeba-test.ltz-swe.ltz.swe 	| 25.9 	| 0.430 |
| Tatoeba-test.ltz-yid.ltz.yid 	| 1.5 	| 0.160 |
| Tatoeba-test.multi.multi 	| 42.7 	| 0.614 |
| Tatoeba-test.nds-dan.nds.dan 	| 23.0 	| 0.465 |
| Tatoeba-test.nds-deu.nds.deu 	| 39.8 	| 0.610 |
| Tatoeba-test.nds-eng.nds.eng 	| 32.0 	| 0.520 |
| Tatoeba-test.nds-enm.nds.enm 	| 3.9 	| 0.156 |
| Tatoeba-test.nds-frr.nds.frr 	| 10.7 	| 0.127 |
| Tatoeba-test.nds-fry.nds.fry 	| 10.7 	| 0.231 |
| Tatoeba-test.nds-gos.nds.gos 	| 0.8 	| 0.157 |
| Tatoeba-test.nds-nld.nds.nld 	| 44.1 	| 0.634 |
| Tatoeba-test.nds-nor.nds.nor 	| 47.1 	| 0.665 |
| Tatoeba-test.nds-swg.nds.swg 	| 0.5 	| 0.166 |
| Tatoeba-test.nds-yid.nds.yid 	| 12.7 	| 0.337 |
| Tatoeba-test.nld-afr.nld.afr 	| 58.4 	| 0.748 |
| Tatoeba-test.nld-dan.nld.dan 	| 61.3 	| 0.753 |
| Tatoeba-test.nld-deu.nld.deu 	| 48.2 	| 0.670 |
| Tatoeba-test.nld-eng.nld.eng 	| 52.8 	| 0.690 |
| Tatoeba-test.nld-enm.nld.enm 	| 5.7 	| 0.178 |
| Tatoeba-test.nld-frr.nld.frr 	| 0.9 	| 0.159 |
| Tatoeba-test.nld-fry.nld.fry 	| 23.0 	| 0.467 |
| Tatoeba-test.nld-gos.nld.gos 	| 1.0 	| 0.165 |
| Tatoeba-test.nld-ltz.nld.ltz 	| 14.4 	| 0.310 |
| Tatoeba-test.nld-nds.nld.nds 	| 24.1 	| 0.485 |
| Tatoeba-test.nld-nor.nld.nor 	| 53.6 	| 0.705 |
| Tatoeba-test.nld-sco.nld.sco 	| 15.0 	| 0.415 |
| Tatoeba-test.nld-stq.nld.stq 	| 0.5 	| 0.183 |
| Tatoeba-test.nld-swe.nld.swe 	| 73.6 	| 0.842 |
| Tatoeba-test.nld-swg.nld.swg 	| 4.2 	| 0.191 |
| Tatoeba-test.nld-yid.nld.yid 	| 9.4 	| 0.299 |
| Tatoeba-test.non-eng.non.eng 	| 27.7 	| 0.501 |
| Tatoeba-test.nor-afr.nor.afr 	| 48.2 	| 0.687 |
| Tatoeba-test.nor-dan.nor.dan 	| 69.5 	| 0.820 |
| Tatoeba-test.nor-deu.nor.deu 	| 41.1 	| 0.634 |
| Tatoeba-test.nor-eng.nor.eng 	| 49.4 	| 0.660 |
| Tatoeba-test.nor-enm.nor.enm 	| 6.8 	| 0.230 |
| Tatoeba-test.nor-fao.nor.fao 	| 6.9 	| 0.395 |
| Tatoeba-test.nor-fry.nor.fry 	| 9.2 	| 0.323 |
| Tatoeba-test.nor-got.nor.got 	| 1.5 	| 0.000 |
| Tatoeba-test.nor-isl.nor.isl 	| 34.5 	| 0.555 |
| Tatoeba-test.nor-ltz.nor.ltz 	| 22.1 	| 0.447 |
| Tatoeba-test.nor-nds.nor.nds 	| 34.3 	| 0.565 |
| Tatoeba-test.nor-nld.nor.nld 	| 50.5 	| 0.676 |
| Tatoeba-test.nor-nor.nor.nor 	| 57.6 	| 0.764 |
| Tatoeba-test.nor-swe.nor.swe 	| 68.9 	| 0.813 |
| Tatoeba-test.nor-yid.nor.yid 	| 65.0 	| 0.627 |
| Tatoeba-test.pdc-deu.pdc.deu 	| 43.5 	| 0.559 |
| Tatoeba-test.pdc-eng.pdc.eng 	| 26.1 	| 0.471 |
| Tatoeba-test.sco-deu.sco.deu 	| 7.1 	| 0.295 |
| Tatoeba-test.sco-eng.sco.eng 	| 34.4 	| 0.551 |
| Tatoeba-test.sco-nld.sco.nld 	| 9.9 	| 0.438 |
| Tatoeba-test.stq-deu.stq.deu 	| 8.6 	| 0.385 |
| Tatoeba-test.stq-eng.stq.eng 	| 21.8 	| 0.431 |
| Tatoeba-test.stq-frr.stq.frr 	| 2.1 	| 0.111 |
| Tatoeba-test.stq-fry.stq.fry 	| 7.6 	| 0.267 |
| Tatoeba-test.stq-gos.stq.gos 	| 0.7 	| 0.198 |
| Tatoeba-test.stq-isl.stq.isl 	| 16.0 	| 0.121 |
| Tatoeba-test.stq-ltz.stq.ltz 	| 3.8 	| 0.150 |
| Tatoeba-test.stq-nld.stq.nld 	| 14.6 	| 0.375 |
| Tatoeba-test.stq-yid.stq.yid 	| 2.4 	| 0.096 |
| Tatoeba-test.swe-afr.swe.afr 	| 51.8 	| 0.802 |
| Tatoeba-test.swe-dan.swe.dan 	| 64.9 	| 0.784 |
| Tatoeba-test.swe-deu.swe.deu 	| 47.0 	| 0.657 |
| Tatoeba-test.swe-eng.swe.eng 	| 55.8 	| 0.700 |
| Tatoeba-test.swe-fao.swe.fao 	| 0.0 	| 0.060 |
| Tatoeba-test.swe-fry.swe.fry 	| 14.1 	| 0.449 |
| Tatoeba-test.swe-gos.swe.gos 	| 7.5 	| 0.291 |
| Tatoeba-test.swe-isl.swe.isl 	| 70.7 	| 0.812 |
| Tatoeba-test.swe-ltz.swe.ltz 	| 15.9 	| 0.553 |
| Tatoeba-test.swe-nld.swe.nld 	| 78.7 	| 0.854 |
| Tatoeba-test.swe-nor.swe.nor 	| 67.1 	| 0.799 |
| Tatoeba-test.swe-yid.swe.yid 	| 14.7 	| 0.156 |
| Tatoeba-test.swg-dan.swg.dan 	| 7.7 	| 0.341 |
| Tatoeba-test.swg-deu.swg.deu 	| 8.0 	| 0.334 |
| Tatoeba-test.swg-eng.swg.eng 	| 12.4 	| 0.305 |
| Tatoeba-test.swg-nds.swg.nds 	| 1.1 	| 0.209 |
| Tatoeba-test.swg-nld.swg.nld 	| 4.9 	| 0.244 |
| Tatoeba-test.swg-yid.swg.yid 	| 3.4 	| 0.194 |
| Tatoeba-test.yid-afr.yid.afr 	| 23.6 	| 0.552 |
| Tatoeba-test.yid-ang.yid.ang 	| 0.1 	| 0.066 |
| Tatoeba-test.yid-dan.yid.dan 	| 17.5 	| 0.392 |
| Tatoeba-test.yid-deu.yid.deu 	| 21.0 	| 0.423 |
| Tatoeba-test.yid-eng.yid.eng 	| 17.4 	| 0.368 |
| Tatoeba-test.yid-enm.yid.enm 	| 0.6 	| 0.143 |
| Tatoeba-test.yid-fry.yid.fry 	| 5.3 	| 0.169 |
| Tatoeba-test.yid-gos.yid.gos 	| 1.2 	| 0.149 |
| Tatoeba-test.yid-ltz.yid.ltz 	| 3.5 	| 0.256 |
| Tatoeba-test.yid-nds.yid.nds 	| 14.4 	| 0.487 |
| Tatoeba-test.yid-nld.yid.nld 	| 26.1 	| 0.423 |
| Tatoeba-test.yid-nor.yid.nor 	| 47.1 	| 0.583 |
| Tatoeba-test.yid-stq.yid.stq 	| 1.5 	| 0.092 |
| Tatoeba-test.yid-swe.yid.swe 	| 35.9 	| 0.518 |
| Tatoeba-test.yid-swg.yid.swg 	| 1.0 	| 0.124 |


### System Info:


- hf_name: gem-gem
- source_languages: gem
- target_languages: gem
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/gem-gem/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['da', 'sv', 'af', 'nn', 'fy', 'fo', 'de', 'nb', 'nl', 'is', 'en', 'lb', 'yi', 'gem']
- src_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- tgt_constituents: {'ksh', 'enm_Latn', 'got_Goth', 'stq', 'dan', 'swe', 'afr', 'pdc', 'gos', 'nno', 'fry', 'gsw', 'fao', 'deu', 'swg', 'sco', 'nob', 'nld', 'isl', 'eng', 'ltz', 'nob_Hebr', 'ang_Latn', 'frr', 'non_Latn', 'yid', 'nds'}
- src_multilingual: True
- tgt_multilingual: True
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/gem-gem/opus-2020-07-27.test.txt
- src_alpha3: gem
- tgt_alpha3: gem
- short_pair: gem-gem
- chrF2_score: 0.614
- bleu: 42.7
- brevity_penalty: 0.993
- ref_len: 73459.0
- src_name: Germanic languages
- tgt_name: Germanic languages
- train_date: 2020-07-27
- src_alpha2: gem
- tgt_alpha2: gem
- prefer_old: False
- long_pair: gem-gem
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-gem-gem


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-af-fr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.af.fr 	| 35.3 	| 0.543 |


model name: opus-mt-af-fr


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


language:


- ar
- he


- translation


## license: apache-2.0


### ara-heb


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.ara.heb 	| 40.4 	| 0.605 |


### System Info:


- hf_name: ara-heb
- source_languages: ara
- target_languages: heb
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/ara-heb/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ar', 'he']
- src_constituents: {'apc', 'ara', 'arq_Latn', 'arq', 'afb', 'ara_Latn', 'apc_Latn', 'arz'}
- tgt_constituents: {'heb'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/ara-heb/opus-2020-07-03.test.txt
- src_alpha3: ara
- tgt_alpha3: heb
- short_pair: ar-he
- chrF2_score: 0.605
- bleu: 40.4
- brevity_penalty: 1.0
- ref_len: 6801.0
- src_name: Arabic
- tgt_name: Hebrew
- train_date: 2020-07-03
- src_alpha2: ar
- tgt_alpha2: he
- prefer_old: False
- long_pair: ara-heb
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ar-he


model author: Helsinki-NLP


task: translation


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


- eo
- io
- art
- en


tags:


### art-eng


* source group: Artificial languages
* target group: English
* OPUS readme: [art-eng](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/art-eng/README.md)
* model: transformer
* source language(s): afh_Latn avk_Latn dws_Latn epo ido ido_Latn ile_Latn ina_Latn jbo jbo_Cyrl jbo_Latn ldn_Latn lfn_Cyrl lfn_Latn nov_Latn qya qya_Latn sjn_Latn tlh_Latn tzl tzl_Latn vol_Latn
* target language(s): eng
* model: transformer
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus2m-2020-07-31.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip)
* test set translations: [opus2m-2020-07-31.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt)
* test set scores: [opus2m-2020-07-31.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.eval.txt)


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.afh-eng.afh.eng 	| 1.2 	| 0.099 |
| Tatoeba-test.avk-eng.avk.eng 	| 0.4 	| 0.105 |
| Tatoeba-test.dws-eng.dws.eng 	| 1.6 	| 0.076 |
| Tatoeba-test.epo-eng.epo.eng 	| 34.6 	| 0.530 |
| Tatoeba-test.ido-eng.ido.eng 	| 12.7 	| 0.310 |
| Tatoeba-test.ile-eng.ile.eng 	| 4.6 	| 0.218 |
| Tatoeba-test.ina-eng.ina.eng 	| 5.8 	| 0.254 |
| Tatoeba-test.jbo-eng.jbo.eng 	| 0.2 	| 0.115 |
| Tatoeba-test.ldn-eng.ldn.eng 	| 0.7 	| 0.083 |
| Tatoeba-test.lfn-eng.lfn.eng 	| 1.8 	| 0.172 |
| Tatoeba-test.multi.eng 	| 11.6 	| 0.287 |
| Tatoeba-test.nov-eng.nov.eng 	| 5.1 	| 0.215 |
| Tatoeba-test.qya-eng.qya.eng 	| 0.7 	| 0.113 |
| Tatoeba-test.sjn-eng.sjn.eng 	| 0.9 	| 0.090 |
| Tatoeba-test.tlh-eng.tlh.eng 	| 0.2 	| 0.124 |
| Tatoeba-test.tzl-eng.tzl.eng 	| 1.4 	| 0.109 |
| Tatoeba-test.vol-eng.vol.eng 	| 0.5 	| 0.115 |


- hf_name: art-eng
- source_languages: art
- target_languages: eng
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/art-eng/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['eo', 'io', 'art', 'en']
- src_constituents: {'sjn_Latn', 'tzl', 'vol_Latn', 'qya', 'tlh_Latn', 'ile_Latn', 'ido_Latn', 'tzl_Latn', 'jbo_Cyrl', 'jbo', 'lfn_Latn', 'nov_Latn', 'dws_Latn', 'ldn_Latn', 'avk_Latn', 'lfn_Cyrl', 'ina_Latn', 'jbo_Latn', 'epo', 'afh_Latn', 'qya_Latn', 'ido'}
- tgt_constituents: {'eng'}
- src_multilingual: True
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/art-eng/opus2m-2020-07-31.test.txt
- src_alpha3: art
- tgt_alpha3: eng
- short_pair: art-en
- chrF2_score: 0.287
- bleu: 11.6
- brevity_penalty: 1.0
- ref_len: 73037.0
- src_name: Artificial languages
- tgt_name: English
- train_date: 2020-07-31
- src_alpha2: art
- tgt_alpha2: en
- prefer_old: False
- long_pair: art-eng
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-art-en


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


- translation
license: apache-2.0


### opus-mt-en-run


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.run 	| 34.2 	| 0.591 |


model name: opus-mt-en-run


model author: Helsinki-NLP


task: translation


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


### opus-mt-en_el_es_fi-en_el_es_fi


* source languages: en,el,es,fi
* target languages: en,el,es,fi
* OPUS readme: [en+el+es+fi-en+el+es+fi](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/en+el+es+fi-en+el+es+fi/README.md)
* dataset: opus
* model: transformer
* 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-2020-03-02.zip](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.zip)
* test set translations: [opus-2020-03-02.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.test.txt)
* test set scores: [opus-2020-03-02.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en+el+es+fi-en+el+es+fi/opus-2020-03-02.eval.txt)


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| newsdev2015-enfi.en.fi 	| 16.0 	| 0.498 |
| newssyscomb2009.en.es 	| 29.9 	| 0.570 |
| newssyscomb2009.es.en 	| 29.7 	| 0.569 |
| news-test2008.en.es 	| 27.3 	| 0.549 |
| news-test2008.es.en 	| 27.3 	| 0.548 |
| newstest2009.en.es 	| 28.4 	| 0.564 |
| newstest2009.es.en 	| 28.4 	| 0.564 |
| newstest2010.en.es 	| 34.0 	| 0.599 |
| newstest2010.es.en 	| 34.0 	| 0.599 |
| newstest2011.en.es 	| 35.1 	| 0.600 |
| newstest2012.en.es 	| 35.4 	| 0.602 |
| newstest2013.en.es 	| 31.9 	| 0.576 |
| newstest2015-enfi.en.fi 	| 17.8 	| 0.509 |
| newstest2016-enfi.en.fi 	| 19.0 	| 0.521 |
| newstest2017-enfi.en.fi 	| 21.2 	| 0.539 |
| newstest2018-enfi.en.fi 	| 13.9 	| 0.478 |
| newstest2019-enfi.en.fi 	| 18.8 	| 0.503 |
| newstestB2016-enfi.en.fi 	| 14.9 	| 0.491 |
| newstestB2017-enfi.en.fi 	| 16.9 	| 0.503 |
| simplification.en.en 	| 63.0 	| 0.798 |
| Tatoeba.en.fi 	| 56.7 	| 0.719 |


model name: opus-mt-en_el_es_fi-en_el_es_fi


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


tags:


### opus-mt-en-iso


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.iso 	| 35.7 	| 0.523 |


model name: opus-mt-en-iso


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


- translation
license: apache-2.0


### opus-mt-ln-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.ln.fr 	| 28.4 	| 0.456 |


model name: opus-mt-ln-fr


model author: Helsinki-NLP


task: translation


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


### opus-mt-sv-umb


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.umb 	| 20.4 	| 0.431 |


model name: opus-mt-sv-umb


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


language:


- ca
- uk


tags:


- translation


## license: apache-2.0


### cat-ukr


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.cat.ukr 	| 28.6 	| 0.503 |


### System Info:


- hf_name: cat-ukr
- source_languages: cat
- target_languages: ukr
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/cat-ukr/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ca', 'uk']
- src_constituents: {'cat'}
- tgt_constituents: {'ukr'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm4k,spm4k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/cat-ukr/opus-2020-06-16.test.txt
- src_alpha3: cat
- tgt_alpha3: ukr
- short_pair: ca-uk
- chrF2_score: 0.503
- bleu: 28.6
- brevity_penalty: 0.9670000000000001
- ref_len: 2438.0
- src_name: Catalan
- tgt_name: Ukrainian
- train_date: 2020-06-16
- src_alpha2: ca
- tgt_alpha2: uk
- prefer_old: False
- long_pair: cat-ukr
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ca-uk


model author: Helsinki-NLP


task: translation


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


- translation
license: apache-2.0


### opus-mt-lg-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.lg.fr 	| 23.7 	| 0.406 |


model name: opus-mt-lg-fr


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


tags:


### opus-mt-fi-mos


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.mos 	| 21.4 	| 0.366 |


model name: opus-mt-fi-mos


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


language:


- ru
- sv


- translation


## license: apache-2.0


### rus-swe


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.swe 	| 51.9 	| 0.677 |


### System Info:


- hf_name: rus-swe
- source_languages: rus
- target_languages: swe
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-swe/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'sv']
- src_constituents: {'rus'}
- tgt_constituents: {'swe'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-swe/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: swe
- short_pair: ru-sv
- chrF2_score: 0.677
- bleu: 51.9
- brevity_penalty: 0.968
- ref_len: 8449.0
- src_name: Russian
- tgt_name: Swedish
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: sv
- prefer_old: False
- long_pair: rus-swe
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-sv


model author: Helsinki-NLP


task: translation


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


tags:


- translation
license: apache-2.0


### opus-mt-tiv-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.tiv.en 	| 31.5 	| 0.473 |


model name: opus-mt-tiv-en


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


### opus-mt-fi-hu


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.fi.hu 	| 50.4 	| 0.705 |


model name: opus-mt-fi-hu


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


### opus-mt-es-ve


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.ve 	| 21.7 	| 0.440 |


model name: opus-mt-es-ve


model author: Helsinki-NLP


task: translation


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


language:


- ru
- lv


tags:


- translation


## license: apache-2.0


### rus-lav


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.rus.lav 	| 50.0 	| 0.696 |


### System Info:


- hf_name: rus-lav
- source_languages: rus
- target_languages: lav
- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/rus-lav/README.md
- original_repo: Tatoeba-Challenge
- tags: ['translation']
- languages: ['ru', 'lv']
- src_constituents: {'rus'}
- tgt_constituents: {'lav'}
- src_multilingual: False
- tgt_multilingual: False
- prepro:  normalization + SentencePiece (spm32k,spm32k)
- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.zip
- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/rus-lav/opus-2020-06-17.test.txt
- src_alpha3: rus
- tgt_alpha3: lav
- short_pair: ru-lv
- chrF2_score: 0.696
- bleu: 50.0
- brevity_penalty: 0.968
- ref_len: 1518.0
- src_name: Russian
- tgt_name: Latvian
- train_date: 2020-06-17
- src_alpha2: ru
- tgt_alpha2: lv
- prefer_old: False
- long_pair: rus-lav
- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
- port_machine: brutasse
- port_time: 2020-08-21-14:41


model name: opus-mt-ru-lv


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


- translation
license: apache-2.0


### opus-mt-sv-is


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.sv.is 	| 27.1 	| 0.471 |


model name: opus-mt-sv-is


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-ar-en


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.ar.en 	| 49.4 	| 0.661 |


model name: opus-mt-ar-en


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


### opus-mt-fi-gaa


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.gaa 	| 30.5 	| 0.514 |


model name: opus-mt-fi-gaa


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


- translation
license: apache-2.0


### opus-mt-mh-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.mh.es 	| 23.6 	| 0.407 |


model name: opus-mt-mh-es


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-en-tw


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.en.tw 	| 38.2 	| 0.577 |


model name: opus-mt-en-tw


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


### opus-mt-yap-fr


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.yap.fr 	| 22.2 	| 0.381 |


model name: opus-mt-yap-fr


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


- translation
license: apache-2.0


### opus-mt-toi-es


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.toi.es 	| 24.6 	| 0.416 |


model name: opus-mt-toi-es


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-es-tvl


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.tvl 	| 28.3 	| 0.464 |


model name: opus-mt-es-tvl


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


### opus-mt-fi-ty


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ty 	| 39.7 	| 0.565 |


model name: opus-mt-fi-ty


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


- translation
license: apache-2.0


### opus-mt-en-eo


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


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.en.eo 	| 49.5 	| 0.682 |


model name: opus-mt-en-eo


model author: Helsinki-NLP


task: translation


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


tags:


### opus-mt-fi-ha


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


## Benchmarks


| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.fi.ha 	| 24.2 	| 0.461 |


model name: opus-mt-fi-ha


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


language:


- be
- ru
- uk
- zle


- translation


## license: apache-2.0


### zle-zle