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svk-man avatar svk-man commented on May 17, 2024

Example
My sentence: Мой кот ... (My cat ...)
3 word is ест (eat)
List of possible words: ест (eat), поглощает (absorb), глотает (swallow), кушают (eats) etc.
I need to determine the probabilities of each word from the given list in the context of the phrase and make the most correct sentence.
Output: Мой кот ест (My cat eat).

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adamcyber1 avatar adamcyber1 commented on May 17, 2024

Hi @svk-man , I am taking a look at this

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svk-man avatar svk-man commented on May 17, 2024

Hi @adamfillion , I hope it will help you:
https://github.com/vlomme/Russian-gpt-2
https://github.com/vlarine/transformers-ru

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adamcyber1 avatar adamcyber1 commented on May 17, 2024

@svk-man A pull request is open that will handle multi-lingual support.

For now, if you use model = HappyBERT(''bert-base-multilingual-cased") then you should be able to do masked word prediction with the language of your choice (question answering may not work as intended).

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EricFillion avatar EricFillion commented on May 17, 2024

Added in #195. Now you can use any model available on Hugging Face's model distribution network for text classification, word prediction, next sentence prediction, question answering and token classification.

New release coming soon.

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EricFillion avatar EricFillion commented on May 17, 2024

It's now available in version 2.1.0 that's published to PyPi.

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