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Helsinki-NLP/opus-mt-taw-en Helsinki-NLP/opus-mt-taw-en
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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-taw-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-taw-en")
Uploaded in S3

taw-eng

Benchmarks

testset BLEU chr-F
Tatoeba-test.lao-eng.lao.eng 1.1 0.133
Tatoeba-test.multi.eng 38.9 0.572
Tatoeba-test.tha-eng.tha.eng 40.6 0.588

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