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insurance_multiple_label_my83-v2
Leonardolin/insurance_multiple_label_my83-v2
insurance_multiple_label_my83-v2 is a text classification model from Leonardolin. Use it when you need a label for a piece of text. It is set up for transformers.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 18, 2023
- Updated
- Jul 20, 2023
- SHA
- cd446994
Try a prompt
Model card
From the Hugging Face model README
!pip install transformers datasets
from transformers import pipeline
pipe = pipeline(model="Leonardolin/insurance_multiple_label_my83-v2",task='text-classification')
text='一次給付型癌症險(your input)'
output=pipe(text,top_k=10)
output
labels=[]
for i in output:
if i['score']>0.5:
labels.append(i['label'])
print(i['label'])
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 18, 2023
- Updated
- Jul 20, 2023