Instructions to use bhanuripranathi/fraud-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhanuripranathi/fraud-detector with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bhanuripranathi/fraud-detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fea770444c3eb299dc3837d26de639b5fbdf88e11cccaf22ad30efb1d3d41544
- Size of remote file:
- 5.65 kB
- SHA256:
- 3e5bd34573cc130bec2e4110a945ed346e6b8f66c82d8f6cf1e620c936836dec
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