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:
- 7ce6159ba5078a745ffc273a278678060fa1cb444ade0244f589f8e731aea686
- Size of remote file:
- 5.84 kB
- SHA256:
- a55254a25b9b4efe7714049fe098b28f448ef8c65f96c91f7ece8858052ae10e
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