Downloads · 30 days
21
3% of all-time downloads
deberta-large-chinese-erlangshen-upos
KoichiYasuoka/deberta-large-chinese-erlangshen-upos
deberta-large-chinese-erlangshen-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 DeBERTa(V2) model pre-trained on Chinese texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from Erlangshen-DeBERTa-v2-320M-Chinese. Every word is tagged by UPOS (Univers…
All-time downloads
785
Public
Repo size
5.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.model1.3 GB · 51%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Dec 29, 2022
- Updated
- Aug 31, 2026
- SHA
- 06599d9b
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
deberta-large-chinese-erlangshen-upos
Model Description
This is a DeBERTa(V2) model pre-trained on Chinese texts (both simplified and traditional) for POS-tagging and dependency-parsing, derived from Erlangshen-DeBERTa-v2-320M-Chinese. Every word is tagged by UPOS (Universal Part-Of-Speech).
How to Use
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-large-chinese-erlangshen-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-large-chinese-erlangshen-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/deberta-large-chinese-erlangshen-upos")
See Also
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- apache-2.0
- Languages
- zh
- Created
- Dec 29, 2022
- Updated
- Aug 31, 2026