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

  • source group: English

  • target group: Creoles and pidgins, French‑based

  • OPUS readme: eng-cpf

  • model: transformer

  • source language(s): eng

  • target language(s): gcf_Latn hat mfe

  • model: transformer

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

  • a sentence initial language token is required in the form of >>id<< (id = valid target language ID)

  • download original weights: opus-2020-07-26.zip

  • test set translations: opus-2020-07-26.test.txt

  • test set scores: opus-2020-07-26.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.eng-gcf.eng.gcf 6.2 0.262
Tatoeba-test.eng-hat.eng.hat 25.7 0.451
Tatoeba-test.eng-mfe.eng.mfe 80.1 0.900
Tatoeba-test.eng.multi 15.9 0.354

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