metadata
language:
- be
- bg
- ru
- sr
- uk
tags:
- belarusian
- bulgarian
- russian
- serbian
- ukrainian
- token-classification
- pos
- dependency-parsing
datasets:
- universal_dependencies
license: cc-by-sa-4.0
pipeline_tag: token-classification
bert-base-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-base. 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-slavic-cyrillic-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-slavic-cyrillic-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-slavic-cyrillic-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa models