belarusian bulgarian macedonian russian serbian ukrainian token-classification pos dependency-parsing

bert-large-slavic-cyrillic-upos

Model Description

This is a BERT model pre-trained with Slavic-Cyrillic (UD_Belarusian UD_Bulgarian UD_Russian UD_Serbian UD_Ukrainian) for POS-tagging and dependency-parsing, derived from ruBert-large. Every word is tagged by UPOS (Universal Part-Of-Speech).

How to Use

from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-large-slavic-cyrillic-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-large-slavic-cyrillic-upos")

or

import esupar
nlp=esupar.load("KoichiYasuoka/bert-large-slavic-cyrillic-upos")

See Also

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