Instructions to use dzungpham/graphcodebert-code-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzungpham/graphcodebert-code-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dzungpham/graphcodebert-code-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d301c6a0523e548e769d203ec3b63a3a2313ed5dc6a5b7847492393c7de5c33
- Size of remote file:
- 5.84 kB
- SHA256:
- 64c0b8a6d392bd2e7b64d7504ce486a51b83e4079e79341886020b90ee199ffd
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