
### opus-mt-nso-fi

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

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.nso.fi 	| 27.8 	| 0.523 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation nso fi license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-nso-fi


* source languages: nso
* target languages: fi
* OPUS readme: nso-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 27.8, chr-F: 0.523



### opus-mt-nso-fi


* source languages: nso
* target languages: fi
* OPUS readme: nso-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 27.8, chr-F: 0.523
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-nso-fi


* source languages: nso
* target languages: fi
* OPUS readme: nso-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 27.8, chr-F: 0.523
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #nso #fi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-nso-fi


* source languages: nso
* target languages: fi
* OPUS readme: nso-fi
* dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 27.8, chr-F: 0.523