!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'])