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bert-base-slavic-cyrillic-upos
KoichiYasuoka/bert-base-slavic-cyrillic-upos
bert-base-slavic-cyrillic-upos is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
This is a BERT model pre-trained with Slavic-Cyrillic (UDBelarusian UDBulgarian UDRussian UDSerbian UDUkrainian) for POS-tagging and dependency-parsing, derived from ruBert-base. Every word is tagged by UPOS (Universa…
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.model812 MB · 53%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 22, 2022
- Updated
- Sep 1, 2026
- SHA
- 7449ab87
Base models
Datasets
Model card
From the Hugging Face model README
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/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Languages
- be, bg, mk, ru, sr, uk
- Created
- Mar 22, 2022
- Updated
- Sep 1, 2026