Downloads · 30 days
38
5% of all-time downloads
roberta-base-chinese-upos
KoichiYasuoka/roberta-base-chinese-upos
roberta-base-chinese-upos 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, derived from roberta-base-chinese. Every word is tagged by UPOS (Universal Part-…
All-time downloads
705
Public
Repo size
2.7 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.model478 MB · 53%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- roberta
- Access
- Public
- Created
- Dec 15, 2022
- Updated
- Aug 31, 2026
- SHA
- 37999150
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
roberta-base-chinese-upos
Model Description
This is a RoBERTa model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from roberta-base-chinese. Every word is tagged by UPOS (Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-chinese-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-base-chinese-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/roberta-base-chinese-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- cc-by-sa-4.0
- Languages
- zh
- Created
- Dec 15, 2022
- Updated
- Aug 31, 2026