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:
- c9952dad33a85f3960d33d8640552527bce76c94e285fd28a8220a88e7633d6f
- Size of remote file:
- 1.47 kB
- SHA256:
- 53459cc6ac514715c0a6bf016b14c38de84d51f78f8ffc1c0014ef91bdc5bf30
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