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metadata
language:
  - ru
tags:
  - russian
  - token-classification
  - pos
  - dependency-parsing
base_model: DeepPavlov/rubert-base-cased
datasets:
  - universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification

bert-base-russian-upos

Model Description

This is a BERT model pre-trained with UD_Russian for POS-tagging and dependency-parsing, derived from rubert-base-cased. Every word is tagged by UPOS (Universal Part-Of-Speech).

How to Use

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-russian-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-russian-upos")

or

import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-russian-upos")

See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models