
### opus-mt-de-da

* source languages: de
* target languages: da
*  OPUS readme: [de-da](https://github.com/Helsinki-NLP/OPUS-MT-train/blob/master/models/de-da/README.md)

*  dataset: opus
* model: transformer-align
* pre-processing: normalization + SentencePiece
* download original weights: [opus-2020-01-29.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.zip)
* test set translations: [opus-2020-01-29.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.test.txt)
* test set scores: [opus-2020-01-29.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-da/opus-2020-01-29.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba.de.da 	| 57.2 	| 0.730 |


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

### opus-mt-de-da


* source languages: de
* target languages: da
* OPUS readme: de-da
* 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: 57.2, chr-F: 0.730



### opus-mt-de-da


* source languages: de
* target languages: da
* OPUS readme: de-da
* 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: 57.2, chr-F: 0.730
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### opus-mt-de-da


* source languages: de
* target languages: da
* OPUS readme: de-da
* 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: 57.2, chr-F: 0.730
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #de #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### opus-mt-de-da


* source languages: de
* target languages: da
* OPUS readme: de-da
* 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: 57.2, chr-F: 0.730