Downloads · 30 days
82
1% of all-time downloads
bert-base-russian-upos
KoichiYasuoka/bert-base-russian-upos
bert-base-russian-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 UDRussian for POS-tagging and dependency-parsing, derived from rubert-base-cased. Every word is tagged by UPOS (Universal Part-Of-Speech).
All-time downloads
8.9K
Public
Repo size
6.8 GB
Likes
4
Public
Repo makeup
Click a slice to open those files.
.model810 MB · 52%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Mar 13, 2022
- Updated
- Jan 22, 2026
- SHA
- ebad1e1e
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
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
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Languages
- ru
- Created
- Mar 13, 2022
- Updated
- Jan 22, 2026