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Model: Helsinki-NLP/opus-mt-en-cs

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Helsinki-NLP/opus-mt-en-cs Helsinki-NLP/opus-mt-en-cs
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pytorch

tf

Contributed by

Language Technology Research Group at the University of Helsinki university
1 team member · 1011 models

How to use this model directly from the 🤗/transformers library:

			
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tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-cs") model = AutoModelWithLMHead.from_pretrained("Helsinki-NLP/opus-mt-en-cs")

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opus-mt-en-cs

Benchmarks

testset BLEU chr-F
newssyscomb2009.en.cs 22.8 0.507
news-test2008.en.cs 20.7 0.485
newstest2009.en.cs 21.8 0.500
newstest2010.en.cs 22.1 0.505
newstest2011.en.cs 23.2 0.507
newstest2012.en.cs 20.8 0.482
newstest2013.en.cs 24.7 0.514
newstest2015-encs.en.cs 24.9 0.527
newstest2016-encs.en.cs 26.7 0.540
newstest2017-encs.en.cs 22.7 0.503
newstest2018-encs.en.cs 22.9 0.504
newstest2019-encs.en.cs 24.9 0.518
Tatoeba.en.cs 46.1 0.647