
### opus-mt-fi_nb_no_nn_ru_sv_en-SAMI

* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
*  OPUS readme: [fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/README.md)

*  dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus+giella-2020-04-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.zip)
* test set translations: [opus+giella-2020-04-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.test.txt)
* test set scores: [opus+giella-2020-04-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms/opus+giella-2020-04-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| giella.fi.sms 	| 58.4 	| 0.776 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch marian text2text-generation translation fi nb no nn ru sv en sami license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI


* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: opus+URL
* test set translations: opus+URL
* test set scores: opus+URL


Benchmarks
----------


testset: URL, BLEU: 58.4, chr-F: 0.776



### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI


* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: opus+URL
* test set translations: opus+URL
* test set scores: opus+URL


Benchmarks
----------


testset: URL, BLEU: 58.4, chr-F: 0.776
TAGS
#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI


* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: opus+URL
* test set translations: opus+URL
* test set scores: opus+URL


Benchmarks
----------


testset: URL, BLEU: 58.4, chr-F: 0.776
passage: TAGS
#transformers #pytorch #marian #text2text-generation #translation #fi #nb #no #nn #ru #sv #en #sami #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-fi\_nb\_no\_nn\_ru\_sv\_en-SAMI


* source languages: fi,nb,no,nn,ru,sv,en
* target languages: se,sma,smj,smn,sms
* OPUS readme: fi+nb+no+nn+ru+sv+en-se+sma+smj+smn+sms
* dataset: opus+giella
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of '>>id<<' (id = valid target language ID)
* download original weights: opus+URL
* test set translations: opus+URL
* test set scores: opus+URL


Benchmarks
----------


testset: URL, BLEU: 58.4, chr-F: 0.776