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:
- 4dc927e9eb0f33409870ad2dbd732827a1c0964c0fd2d7b9e9315437216f8b3a
- Size of remote file:
- 1.38 kB
- SHA256:
- e3aac00eafd5699a027a7bda3118e864621f51251761af496bf9f886428081ab
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