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roberta-classical-chinese-base-ud-goeswith
KoichiYasuoka/roberta-classical-chinese-base-ud-goeswith
roberta-classical-chinese-base-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 apache-2.0.
This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-classical-chinese-base-char and UDClassicalChinese-Kyoto.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Sep 18, 2022
- Updated
- Aug 31, 2026
- SHA
- c6e61715
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Model card
From the Hugging Face model README
roberta-classical-chinese-base-ud-goeswith
Model Description
This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-classical-chinese-base-char and UD_Classical_Chinese-Kyoto.
How to Use
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-classical-chinese-base-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("孟子見梁惠王"))
Reference
Koichi Yasuoka: Sequence-Labeling RoBERTa Model for Dependency-Parsing in Classical Chinese and Its Application to Vietnamese and Thai, ICBIR 2023: 8th International Conference on Business and Industrial Research (May 2023), pp.169-173.
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- lzh
- Created
- Sep 18, 2022
- Updated
- Aug 31, 2026