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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 models

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Hosted inference API
Token Classification
Examples
Examples
This model can be loaded on the Inference API on-demand.

Dataset used to train KoichiYasuoka/bert-base-russian-upos