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Helsinki-NLP/opus-mt-en-cus Helsinki-NLP/opus-mt-en-cus
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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-en-cus") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-cus")
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eng-cus

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng.multi 16.0 0.173
Tatoeba-test.eng-som.eng.som 16.0 0.173

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