Instructions to use Ahmed766/text-classification-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed766/text-classification-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ahmed766/text-classification-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ahmed766/text-classification-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload __pycache__/text_classifier.cpython-312.pyc with huggingface_hub
Verified signature2675dd5 -
Upload README.md with huggingface_hub
Verified signaturedf905c9 -
Upload test_model.py with huggingface_hub
Verified signaturebe57e68 -
Upload app.py with huggingface_hub
Verified signature780d705 -
Upload text_classifier.py with huggingface_hub
Verified signature6a8f2f4 -
Upload setup.py with huggingface_hub
Verified signature865d6db -
Upload requirements.txt with huggingface_hub
Verified signaturef17c17f -
initial commit
Verified signature3127c98