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https://api-inference.huggingface.co/models/Helsinki-NLP/opus-mt-ar-tr
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Helsinki-NLP/opus-mt-ar-tr Helsinki-NLP/opus-mt-ar-tr
60 downloads
last 30 days

pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member ยท 1323 models

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

			
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from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ar-tr") model = AutoModelWithLMHead.from_pretrained("Helsinki-NLP/opus-mt-ar-tr")
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ara-tur

  • source group: Arabic

  • target group: Turkish

  • OPUS readme: ara-tur

  • model: transformer

  • source language(s): apc_Latn ara ara_Latn arq_Latn

  • target language(s): tur

  • model: transformer

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

  • 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.ara.tur 33.1 0.619

System Info: