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Helsinki-NLP/opus-mt-ar-eo Helsinki-NLP/opus-mt-ar-eo
14 downloads
last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member ยท 1325 models

How to use this model directly from the ๐Ÿค—/transformers library:

			
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ar-eo") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ar-eo")
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ara-epo

  • source group: Arabic

  • target group: Esperanto

  • OPUS readme: ara-epo

  • model: transformer-align

  • source language(s): apc apc_Latn ara arq arq_Latn arz

  • target language(s): epo

  • model: transformer-align

  • pre-processing: normalization + SentencePiece (spm4k,spm4k)

  • download original weights: opus-2020-06-16.zip

  • test set translations: opus-2020-06-16.test.txt

  • test set scores: opus-2020-06-16.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.ara.epo 18.9 0.376

System Info: