
### msa-deu

* source group: Malay (macrolanguage) 
* target group: German 
*  OPUS readme: [msa-deu](https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md)

*  model: transformer-align
* source language(s): ind zsm_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: [opus-2020-06-17.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.zip)
* test set translations: [opus-2020-06-17.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt)
* test set scores: [opus-2020-06-17.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.eval.txt)

## Benchmarks

| testset               | BLEU  | chr-F |
|-----------------------|-------|-------|
| Tatoeba-test.msa.deu 	| 36.5 	| 0.584 |


### System Info: 
- hf_name: msa-deu

- source_languages: msa

- target_languages: deu

- opus_readme_url: https://github.com/Helsinki-NLP/Tatoeba-Challenge/tree/master/models/msa-deu/README.md

- original_repo: Tatoeba-Challenge

- tags: ['translation']

- languages: ['ms', 'de']

- src_constituents: {'zsm_Latn', 'ind', 'max_Latn', 'zlm_Latn', 'min'}

- tgt_constituents: {'deu'}

- src_multilingual: False

- tgt_multilingual: False

- prepro:  normalization + SentencePiece (spm32k,spm32k)

- url_model: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.zip

- url_test_set: https://object.pouta.csc.fi/Tatoeba-MT-models/msa-deu/opus-2020-06-17.test.txt

- src_alpha3: msa

- tgt_alpha3: deu

- short_pair: ms-de

- chrF2_score: 0.584

- bleu: 36.5

- brevity_penalty: 0.966

- ref_len: 4198.0

- src_name: Malay (macrolanguage)

- tgt_name: German

- train_date: 2020-06-17

- src_alpha2: ms

- tgt_alpha2: de

- prefer_old: False

- long_pair: msa-deu

- helsinki_git_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535

- transformers_git_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b

- port_machine: brutasse

- port_time: 2020-08-21-14:41
{"language": ["ms", "de"], "license": "apache-2.0", "tags": ["translation"]}
transformers pytorch tf marian text2text-generation translation ms de license:apache-2.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tf #marian #text2text-generation #translation #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 

### msa-deu


* source group: Malay (macrolanguage)
* target group: German
* OPUS readme: msa-deu
* model: transformer-align
* source language(s): ind zsm\_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 36.5, chr-F: 0.584


### System Info:


* hf\_name: msa-deu
* source\_languages: msa
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ms', 'de']
* src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: msa
* tgt\_alpha3: deu
* short\_pair: ms-de
* chrF2\_score: 0.584
* bleu: 36.5
* brevity\_penalty: 0.966
* ref\_len: 4198.0
* src\_name: Malay (macrolanguage)
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: ms
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: msa-deu
* helsinki\_git\_sha: 480fcbe0ee1bf4774bcbe6226ad9f58e63f6c535
* transformers\_git\_sha: 2207e5d8cb224e954a7cba69fa4ac2309e9ff30b
* port\_machine: brutasse
* port\_time: 2020-08-21-14:41



### msa-deu


* source group: Malay (macrolanguage)
* target group: German
* OPUS readme: msa-deu
* model: transformer-align
* source language(s): ind zsm\_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 36.5, chr-F: 0.584 ### System Info:


* hf\_name: msa-deu
* source\_languages: msa
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ms', 'de']
* src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: msa
* tgt\_alpha3: deu
* short\_pair: ms-de
* chrF2\_score: 0.584
* bleu: 36.5
* brevity\_penalty: 0.966
* ref\_len: 4198.0
* src\_name: Malay (macrolanguage)
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: ms
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: msa-deu
* 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 #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ### msa-deu


* source group: Malay (macrolanguage)
* target group: German
* OPUS readme: msa-deu
* model: transformer-align
* source language(s): ind zsm\_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 36.5, chr-F: 0.584 ### System Info:


* hf\_name: msa-deu
* source\_languages: msa
* target\_languages: deu
* opus\_readme\_url: URL
* original\_repo: Tatoeba-Challenge
* tags: ['translation']
* languages: ['ms', 'de']
* src\_constituents: {'zsm\_Latn', 'ind', 'max\_Latn', 'zlm\_Latn', 'min'}
* tgt\_constituents: {'deu'}
* src\_multilingual: False
* tgt\_multilingual: False
* prepro: normalization + SentencePiece (spm32k,spm32k)
* url\_model: URL
* url\_test\_set: URL
* src\_alpha3: msa
* tgt\_alpha3: deu
* short\_pair: ms-de
* chrF2\_score: 0.584
* bleu: 36.5
* brevity\_penalty: 0.966
* ref\_len: 4198.0
* src\_name: Malay (macrolanguage)
* tgt\_name: German
* train\_date: 2020-06-17
* src\_alpha2: ms
* tgt\_alpha2: de
* prefer\_old: False
* long\_pair: msa-deu
* 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 #ms #de #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
### msa-deu


* source group: Malay (macrolanguage)
* target group: German
* OPUS readme: msa-deu
* model: transformer-align
* source language(s): ind zsm\_Latn
* target language(s): deu
* model: transformer-align
* pre-processing: normalization + SentencePiece (spm32k,spm32k)
* download original weights: URL
* test set translations: URL
* test set scores: URL


Benchmarks
----------


testset: URL, BLEU: 36.5, chr-F: 0.584