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Helsinki-NLP/opus-mt-az-es Helsinki-NLP/opus-mt-az-es
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last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1325 models

How to use this model directly from the 🤗/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-az-es") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-az-es")
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aze-spa

  • source group: Azerbaijani

  • target group: Spanish

  • OPUS readme: aze-spa

  • model: transformer-align

  • source language(s): aze_Latn

  • target language(s): spa

  • model: transformer-align

  • pre-processing: normalization + SentencePiece (spm4k,spm4k)

  • download original weights: opus-2020-06-16.zip

  • test set translations: opus-2020-06-16.test.txt

  • test set scores: opus-2020-06-16.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.aze.spa 11.8 0.346

System Info: