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base_model
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README.md
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- "token-classification"
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- "pos"
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- "dependency-parsing"
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datasets:
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- "universal_dependencies"
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license: "cc-by-sa-4.0"
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## Model Description
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This is a BERT model pre-trained with Slavic-Cyrillic ([UD_Belarusian](https://universaldependencies.org/be/) [UD_Bulgarian](https://universaldependencies.org/bg/) [UD_Russian](https://universaldependencies.org/ru/) [UD_Serbian](https://universaldependencies.org/treebanks/sr_set/) [UD_Ukrainian](https://universaldependencies.org/treebanks/uk_iu/)) for POS-tagging and dependency-parsing, derived from [ruBert-large](https://huggingface.co/
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## How to Use
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- "token-classification"
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- "pos"
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- "dependency-parsing"
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base_model: ai-forever/ruBert-large
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datasets:
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- "universal_dependencies"
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license: "cc-by-sa-4.0"
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## Model Description
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This is a BERT model pre-trained with Slavic-Cyrillic ([UD_Belarusian](https://universaldependencies.org/be/) [UD_Bulgarian](https://universaldependencies.org/bg/) [UD_Russian](https://universaldependencies.org/ru/) [UD_Serbian](https://universaldependencies.org/treebanks/sr_set/) [UD_Ukrainian](https://universaldependencies.org/treebanks/uk_iu/)) for POS-tagging and dependency-parsing, derived from [ruBert-large](https://huggingface.co/ai-forever/ruBert-large). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech).
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## How to Use
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