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Helsinki-NLP/opus-mt-es-NORWAY
Helsinki-NLP/opus-mt-es-NORWAY
pytorch
tf
How to use this model directly from the
🤗/transformers library:
tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-es-NORWAY") model = AutoModelWithLMHead.from_pretrained("Helsinki-NLP/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: opus-2020-01-16.zip
test set translations: opus-2020-01-16.test.txt
test set scores: opus-2020-01-16.eval.txt
| testset | BLEU | chr-F |
|---|---|---|
| JW300.es.no | 31.6 | 0.523 |
