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:
- 709aa9d9abb73ebb7d1db11565e623a6e051504a060327b410a5471dbb8ec55c
- Size of remote file:
- 504 MB
- SHA256:
- d9afd8bed482d844b20ae8bfafe5c765305af4cddd28bec4604f3eb0e0da11e9
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