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:
- b750a3bdd6ea3abaae9ab0cf83ab1850443465386b4ab4a70576553407d21591
- Size of remote file:
- 4.74 MB
- SHA256:
- 77ce20a7bc55b277f0f55837d91399a4e5305d0f417f998203c53020e9d7ba4c
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