Instructions to use pankaj1881/question-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pankaj1881/question-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pankaj1881/question-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pankaj1881/question-classification") model = AutoModelForSequenceClassification.from_pretrained("pankaj1881/question-classification") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse filesfrom transformers import pipeline
#question classification pipeline
classifier = pipeline("text-classification", model= "pankaj1881/question-classification")
#sample prediction
query = "what is current interest rate?"
result = classifier(query) # return "True" if query === question , else "False"
print(result)
#output
[{'label': 'True',
'score': 0.8767889142036438}]