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deberta-v3-base-open-ner
yongsun-yoon/deberta-v3-base-open-ner
deberta-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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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Aug 19, 2023
- Updated
- Aug 20, 2023
- SHA
- a40e20fb
Try a prompt
Model card
From the Hugging Face model README
Open Named Entity Recognition (English)
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 = 'Heat the olive oil in a frying pan, add the onion and cook for 5 minutes until softened and starting to turn golden. Set aside.'
entity_type = 'ingredient'
input_text = f'{text}{nlp.tokenizer.sep_token}{entity_type}' # [SEP]
nlp(input_text) # olive oil, onion
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- Languages
- en
- Created
- Aug 19, 2023
- Updated
- Aug 20, 2023