
### opus-mt-es-NORWAY

* source languages: es
* target languages: nb_NO,nb,nn_NO,nn,nog,no_nb,no
*  OPUS readme: [es-nb_NO+nb+nn_NO+nn+nog+no_nb+no](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* a sentence initial language token is required in the form of `>>id<<` (id = valid target language ID)
* download original weights: [opus-2020-01-16.zip](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.zip)
* test set translations: [opus-2020-01-16.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.test.txt)
* test set scores: [opus-2020-01-16.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/es-nb_NO+nb+nn_NO+nn+nog+no_nb+no/opus-2020-01-16.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| JW300.es.no 	| 31.6 	| 0.523 |


{"license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation es no license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### opus-mt-es-NORWAY


* source languages: es
* target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no
* OPUS readme: es-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no
* 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: 31.6, chr-F: 0.523



### opus-mt-es-NORWAY


* source languages: es
* target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no
* OPUS readme: es-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no
* 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: 31.6, chr-F: 0.523
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-es-NORWAY


* source languages: es
* target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no
* OPUS readme: es-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no
* 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: 31.6, chr-F: 0.523
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #es #no #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-es-NORWAY


* source languages: es
* target languages: nb\_NO,nb,nn\_NO,nn,nog,no\_nb,no
* OPUS readme: es-nb\_NO+nb+nn\_NO+nn+nog+no\_nb+no
* 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: 31.6, chr-F: 0.523