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:
- eff913c9cd6f2843d94be6287233e7b394d6c12a74d0d8243727e16033c8b827
- Size of remote file:
- 1.38 kB
- SHA256:
- 124625e167eb28acbfc793cfcb3e8a08b32e7fea06501462bc9e420a5e1beb2a
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