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roberta-small-belarusian-upos
KoichiYasuoka/roberta-small-belarusian-upos
roberta-small-belarusian-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 RoBERTa model pre-trained with UDBelarusian for POS-tagging and dependency-parsing, derived from roberta-small-belarusian. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
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Repo size
608 MB
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2
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.model117 MB · 64%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 17, 2022
- Updated
- Jan 22, 2026
- SHA
- 8f861ccc
Base models
Datasets
Model card
From the Hugging Face model README
roberta-small-belarusian-upos
Model Description
This is a RoBERTa model pre-trained with UD_Belarusian for POS-tagging and dependency-parsing, derived from roberta-small-belarusian. Every word is tagged by UPOS (Universal Part-Of-Speech) and FEATS.
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-small-belarusian-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-small-belarusian-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/roberta-small-belarusian-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-sa-4.0
- Languages
- be
- Created
- Mar 17, 2022
- Updated
- Jan 22, 2026