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:
- 30ead01bea2b47793b0459ef2b9aab76e83b101d31cdeee0f8a97c74cc0fe079
- Size of remote file:
- 1.38 kB
- SHA256:
- 3fe30269f1e01bbd05ef9d9a336eb0d22d9ef083f38758adacac6c503a6978bc
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