
### opus-mt-SCANDINAVIA-SCANDINAVIA

* source languages: da,fo,is,no,nb,nn,sv
* target languages: da,fo,is,no,nb,nn,sv
*  OPUS readme: [da+fo+is+no+nb+nn+sv-da+fo+is+no+nb+nn+sv](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/da+fo+is+no+nb+nn+sv-da+fo+is+no+nb+nn+sv/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2019-12-18.zip](https://object.pouta.csc.fi/OPUS-MT-models/da+fo+is+no+nb+nn+sv-da+fo+is+no+nb+nn+sv/opus-2019-12-18.zip)
* test set translations: [opus-2019-12-18.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/da+fo+is+no+nb+nn+sv-da+fo+is+no+nb+nn+sv/opus-2019-12-18.test.txt)
* test set scores: [opus-2019-12-18.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/da+fo+is+no+nb+nn+sv-da+fo+is+no+nb+nn+sv/opus-2019-12-18.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.da.sv 	| 69.2 	| 0.811 |


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

### opus-mt-SCANDINAVIA-SCANDINAVIA


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


Benchmarks
----------


testset: URL, BLEU: 69.2, chr-F: 0.811



### opus-mt-SCANDINAVIA-SCANDINAVIA


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


Benchmarks
----------


testset: URL, BLEU: 69.2, chr-F: 0.811
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #scandinavia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-SCANDINAVIA-SCANDINAVIA


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


Benchmarks
----------


testset: URL, BLEU: 69.2, chr-F: 0.811
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #scandinavia #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-SCANDINAVIA-SCANDINAVIA


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


Benchmarks
----------


testset: URL, BLEU: 69.2, chr-F: 0.811