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Helsinki-NLP/opus-mt-zls-en Helsinki-NLP/opus-mt-zls-en
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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-zls-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-zls-en")
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  • source group: South Slavic languages

  • target group: English

  • OPUS readme: zls-eng

  • model: transformer

  • source language(s): bos_Latn bul bul_Latn hrv mkd slv srp_Cyrl srp_Latn

  • target language(s): eng

  • model: transformer

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

  • download original weights:

  • test set translations: opus2m-2020-08-01.test.txt

  • test set scores: opus2m-2020-08-01.eval.txt


testset BLEU chr-F
Tatoeba-test.bul-eng.bul.eng 54.9 0.693
Tatoeba-test.hbs-eng.hbs.eng 55.7 0.700
Tatoeba-test.mkd-eng.mkd.eng 54.6 0.681
Tatoeba-test.multi.eng 53.6 0.676
Tatoeba-test.slv-eng.slv.eng 25.6 0.407

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