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Monthly model downloads

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

phi-eng

Benchmarks

testset BLEU chr-F
Tatoeba-test.akl-eng.akl.eng 11.6 0.321
Tatoeba-test.ceb-eng.ceb.eng 21.7 0.393
Tatoeba-test.hil-eng.hil.eng 17.6 0.371
Tatoeba-test.ilo-eng.ilo.eng 36.6 0.560
Tatoeba-test.multi.eng 21.5 0.391
Tatoeba-test.pag-eng.pag.eng 27.5 0.494
Tatoeba-test.war-eng.war.eng 17.3 0.380

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