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deberta-base-ainu-upos
KoichiYasuoka/deberta-base-ainu-upos
deberta-base-ainu-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 DeBERTa(V2) model pre-trained on Ainu texts (in カタカナ, Roman, and Кириллица) for POS-tagging and dependency-parsing, derived from deberta-base-ainu. Every word is tagged by UPOS (Universal Part-Of-Speech).
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Jan 3, 2023
- Updated
- Aug 31, 2026
- SHA
- 36f66fb9
Try a prompt
Base models
Model card
From the Hugging Face model README
deberta-base-ainu-upos
Model Description
This is a DeBERTa(V2) model pre-trained on Ainu texts (in カタカナ, Roman, and Кириллица) for POS-tagging and dependency-parsing, derived from deberta-base-ainu. Every word is tagged by UPOS (Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-base-ainu-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-base-ainu-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-base-ainu-upos")
Reference
安岡孝一: ローマ字・カタカナ・キリル文字併用アイヌ語RoBERTa・DeBERTaモデルの開発, 情報処理学会研究報告, Vol.2023-CH-131『人文科学とコンピュータ』, No.7 (2023年2月18日), pp.1-7.
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- cc-by-sa-4.0
- Languages
- ain
- Created
- Jan 3, 2023
- Updated
- Aug 31, 2026