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deberta-base-chinese-ud-goeswith
KoichiYasuoka/deberta-base-chinese-ud-goeswith
deberta-base-chinese-ud-goeswith 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 Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from deberta-base-chinese-upos.
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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
- Dec 28, 2022
- Updated
- Aug 31, 2026
- SHA
- 5918fba2
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Base models
Datasets
Model card
From the Hugging Face model README
deberta-base-chinese-ud-goeswith
Model Description
This is a DeBERTa(V2) model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from deberta-base-chinese-upos.
How to Use
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/deberta-base-chinese-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("我把这本书看完了"))
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- cc-by-sa-4.0
- Languages
- zh
- Created
- Dec 28, 2022
- Updated
- Aug 31, 2026