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modernbert-small-classical-chinese-ud-embeds
KoichiYasuoka/modernbert-small-classical-chinese-ud-embeds
modernbert-small-classical-chinese-ud-embeds is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. The card lists the license as apache-2.0.
This is a ModernBERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from modernbert-small-classical-chinese and UDClassicalChinese-Kyoto.
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At a glance
- Task
- Token Classification
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- May 11, 2025
- Updated
- Aug 31, 2026
- SHA
- beffc158
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Model card
From the Hugging Face model README
modernbert-small-classical-chinese-ud-embeds
Model Description
This is a ModernBERT model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from modernbert-small-classical-chinese and UD_Classical_Chinese-Kyoto.
How to Use
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/modernbert-small-classical-chinese-ud-embeds",trust_remote_code=True)
print(nlp("孟子見梁惠王"))
- Task
- Token Classification
- Type
- modernbert
- License
- apache-2.0
- Languages
- lzh
- Created
- May 11, 2025
- Updated
- Aug 31, 2026