Downloads · 30 days
17
24% of all-time downloads
roberta-classical-chinese-base-ud-embeds
KoichiYasuoka/roberta-classical-chinese-base-ud-embeds
roberta-classical-chinese-base-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 RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, derived from roberta-classical-chinese-base-char and UDClassicalChinese-Kyoto.
All-time downloads
71
Public
Repo size
1.7 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin425 MB · 100%
At a glance
- Task
- Token Classification
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 5, 2025
- Updated
- Aug 31, 2026
- SHA
- b6641245
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
roberta-classical-chinese-base-ud-embeds
Model Description
This is a RoBERTa model pre-trained on Classical Chinese texts for POS-tagging and dependency-parsing, 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-embeds",trust_remote_code=True)
print(nlp("孟子見梁惠王"))
- Task
- Token Classification
- Type
- roberta
- License
- apache-2.0
- Languages
- lzh
- Created
- Jun 5, 2025
- Updated
- Aug 31, 2026