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!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'])

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