Downloads · 30 days
27
3% of all-time downloads
roberta-base-chinese-ud-goeswith
KoichiYasuoka/roberta-base-chinese-ud-goeswith
roberta-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 RoBERTa model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-base-chinese-upos.
All-time downloads
794
Public
Repo size
2.1 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin424 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- roberta
- Access
- Public
- Created
- Dec 14, 2022
- Updated
- Aug 31, 2026
- SHA
- 25ec3b8c
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
roberta-base-chinese-ud-goeswith
Model Description
This is a RoBERTa model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing (using goeswith for subwords), derived from roberta-base-chinese-upos.
How to Use
from transformers import pipeline
nlp=pipeline("universal-dependencies","KoichiYasuoka/roberta-base-chinese-ud-goeswith",trust_remote_code=True,aggregation_strategy="simple")
print(nlp("我把这本书看完了"))
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
- cc-by-sa-4.0
- Languages
- zh
- Created
- Dec 14, 2022
- Updated
- Aug 31, 2026