Downloads · 30 days
61
4% of all-time downloads
chinese-roberta-large-upos
KoichiYasuoka/chinese-roberta-large-upos
chinese-roberta-large-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 apache-2.0.
This is a BERT model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from chinese-roberta-wwm-ext-large. Every word is tagged by UPOS (Universal…
All-time downloads
1.5K
Public
Repo size
5.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.model1.4 GB · 51%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2026
- SHA
- 9f9d7dea
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
chinese-roberta-large-upos
Model Description
This is a BERT model pre-trained on Chinese Wikipedia texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from chinese-roberta-wwm-ext-large. Every word is tagged by UPOS (Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/chinese-roberta-large-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/chinese-roberta-large-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/chinese-roberta-large-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- zh
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2026