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mdeberta-v3-base-open-ner
yongsun-yoon/mdeberta-v3-base-open-ner
mdeberta-v3-base-open-ner is a token classification model from yongsun-yoon. Use it when you need labels on individual words, such as names. It is set up for transformers.
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Repo size
2.2 GB
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2
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023
- SHA
- 18f04762
Try a prompt
Model card
From the Hugging Face model README
Open Named Entity Recognition (Multilingual)
You can read the details in this post.
from transformers import pipeline
nlp = pipeline('token-classification', 'yongsun-yoon/deberta-v3-base-open-ner', aggregation_strategy='simple')
text = '30일 전주지법 군산지원 제1형사부는 박 시장에 대한 선고공판에서 벌금 500만원을 선고했다.'
entity_type = 'event'
input_text = f'{text}{nlp.tokenizer.sep_token}{entity_type}' # [SEP]
nlp(input_text) # 선고공판
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en, ko
- Created
- Aug 20, 2023
- Updated
- Aug 20, 2023