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:
- 41e9f254215c4c9b0d7781aacbe5c40bd62a02b1069d397d113f1bb9775fc54a
- Size of remote file:
- 14.6 kB
- SHA256:
- 820bebfae8bbd9452955c53efeeb042e6227f4bb5c733fac637c835bd717c752
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