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Helsinki-NLP/opus-mt-el-ar Helsinki-NLP/opus-mt-el-ar
12 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-el-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-el-ar")
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ell-ara

  • source group: Modern Greek (1453-)

  • target group: Arabic

  • OPUS readme: ell-ara

  • model: transformer

  • source language(s): ell

  • target language(s): ara arz

  • 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-2020-07-03.zip

  • test set translations: opus-2020-07-03.test.txt

  • test set scores: opus-2020-07-03.eval.txt

Benchmarks

testset BLEU chr-F
Tatoeba-test.ell.ara 21.9 0.485

System Info: