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Helsinki-NLP/opus-mt-tc-big-he-en nonsensical translation and the speed of the translation generally. #88
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This seems to be the case with all their models which originate from Tatoeba Challenge. Only the models which are included here seem to work using Hugging Face. Up until a month ago, I hadn't encountered such problems. Probably that's why the translation time is too slow! The ru-en model must be one of the older models which are still working. Hope that helps, but I haven't found any fixes! |
Yes this narrows some things down, I am not really sure what Tatoeba challenge is though. Here in this thread the author of the thread explains the possible problem. Hope this may help you
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tatoeba challenge models are trained on this data compilation: https://github.com/Helsinki-NLP/Tatoeba-Challenge/ Otherwise, is the output still broken when using the transfomer models? I think this has been fixed, hasn't it? Otherwise, it would be a question to ask at the huggingface repositories. |
The hebrew to english model outputs really is nonsensical in a way.
slow translation of models
Execution time: 172 seconds
Execution time: 22 seconds
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