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:
- 6874d22d36011d47515d953db7f7ded595e671db7c0d1b66232a33565c2cd9fd
- Size of remote file:
- 4.74 MB
- SHA256:
- ada79dc0368fa04e1c8334181cba0de9346180550026b03291c9e953c46b8e45
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