Instructions to use Leonardolin/insurance_multiple_label_my83-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonardolin/insurance_multiple_label_my83-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leonardolin/insurance_multiple_label_my83-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leonardolin/insurance_multiple_label_my83-v2") model = AutoModelForSequenceClassification.from_pretrained("Leonardolin/insurance_multiple_label_my83-v2") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
!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'])
- Downloads last month
- 3