Instructions to use tiltaf/Packagex_Assignment-document-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiltaf/Packagex_Assignment-document-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiltaf/Packagex_Assignment-document-classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("tiltaf/Packagex_Assignment-document-classification") model = AutoModelForSequenceClassification.from_pretrained("tiltaf/Packagex_Assignment-document-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58bea704f1ac4640f3a8c63c18bc6e6799d50450a9066fff646556424e02fcf6
- Size of remote file:
- 504 MB
- SHA256:
- dfd2a55f1a54f3ee5cd43460e99bdb0c495232e1770e9afc56d3cf91845b3fed
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