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Monthly model downloads

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

cel-eng

Benchmarks

testset BLEU chr-F
Tatoeba-test.bre-eng.bre.eng 17.2 0.385
Tatoeba-test.cor-eng.cor.eng 3.0 0.172
Tatoeba-test.cym-eng.cym.eng 41.5 0.582
Tatoeba-test.gla-eng.gla.eng 15.4 0.330
Tatoeba-test.gle-eng.gle.eng 50.8 0.668
Tatoeba-test.glv-eng.glv.eng 11.0 0.297
Tatoeba-test.multi.eng 22.8 0.398

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