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https://api-inference.huggingface.co/models/Helsinki-NLP/opus-mt-vi-en
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Helsinki-NLP/opus-mt-vi-en Helsinki-NLP/opus-mt-vi-en
54 downloads
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pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1323 models

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

			
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from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-vi-en") model = AutoModelWithLMHead.from_pretrained("Helsinki-NLP/opus-mt-vi-en")
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vie-eng

  • source group: Vietnamese

  • target group: English

  • OPUS readme: vie-eng

  • model: transformer-align

  • source language(s): vie vie_Hani

  • target language(s): eng

  • model: transformer-align

  • pre-processing: normalization + SentencePiece (spm32k,spm32k)

  • download original weights: opus-2020-06-17.zip

  • test set translations: opus-2020-06-17.test.txt

  • test set scores: opus-2020-06-17.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.vie.eng 42.8 0.608

System Info: