
### nor-dan

* source group: Norwegian 
* target group: Danish 
*  OPUS readme: [nor-dan](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md)

*  model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.nor.dan 	| 65.0 	| 0.792 |


### System Info: 
- hf_name: nor-dan

- source_languages: nor

- target_languages: dan

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/nor-dan/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['no', 'da']

- src_constituents: {'nob', 'nno'}

- tgt_constituents: {'dan'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm12k,spm12k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/nor-dan/opus-2020-06-17.test.txt

- src_alpha3: nor

- tgt_alpha3: dan

- short_pair: no-da

- chrF2_score: 0.792

- bleu: 65.0

- brevity_penalty: 0.995

- ref_len: 9865.0

- src_name: Norwegian

- tgt_name: Danish

- train_date: 2020-06-17

- src_alpha2: no

- tgt_alpha2: da

- prefer_old: False

- long_pair: nor-dan

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": [false, "da"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation no da license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### nor-dan


* source group: Norwegian
* target group: Danish
* OPUS readme: nor-dan
* model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 65.0, chr-F: 0.792


### System Info:


* hf\_name: nor-dan
* source\_languages: nor
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['no', 'da']
* src\_constituents: {'nob', 'nno'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: nor
* tgt\_alpha3: dan
* short\_pair: no-da
* chrF2\_score: 0.792
* bleu: 65.0
* brevity\_penalty: 0.995
* ref\_len: 9865.0
* src\_name: Norwegian
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: no
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: nor-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### nor-dan


* source group: Norwegian
* target group: Danish
* OPUS readme: nor-dan
* model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 65.0, chr-F: 0.792 ### System Info:


* hf\_name: nor-dan
* source\_languages: nor
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['no', 'da']
* src\_constituents: {'nob', 'nno'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: nor
* tgt\_alpha3: dan
* short\_pair: no-da
* chrF2\_score: 0.792
* bleu: 65.0
* brevity\_penalty: 0.995
* ref\_len: 9865.0
* src\_name: Norwegian
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: no
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: nor-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### nor-dan


* source group: Norwegian
* target group: Danish
* OPUS readme: nor-dan
* model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 65.0, chr-F: 0.792 ### System Info:


* hf\_name: nor-dan
* source\_languages: nor
* target\_languages: dan
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['no', 'da']
* src\_constituents: {'nob', 'nno'}
* tgt\_constituents: {'dan'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm12k,spm12k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: nor
* tgt\_alpha3: dan
* short\_pair: no-da
* chrF2\_score: 0.792
* bleu: 65.0
* brevity\_penalty: 0.995
* ref\_len: 9865.0
* src\_name: Norwegian
* tgt\_name: Danish
* train\_date: 2020-06-17
* src\_alpha2: no
* tgt\_alpha2: da
* prefer\_old: False
* long\_pair: nor-dan
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41
passage: TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #no #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### nor-dan


* source group: Norwegian
* target group: Danish
* OPUS readme: nor-dan
* model: transformer-align
* source language(s): nno nob
* target language(s): dan
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm12k,spm12k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 65.0, chr-F: 0.792