Instructions to use AMindToThink/code-detection-confound-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMindToThink/code-detection-confound-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AMindToThink/code-detection-confound-checkpoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d3ddd7ce858923ea51dcb01f1e30f4be2322410bd7d31ffa599f50af3b0e72a
- Size of remote file:
- 504 MB
- SHA256:
- 0894753313c0c731896f197944439f8de050728c3b8ac7e65a8fd3e3f8065cee
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