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:
- 7295e3fc3a240e03edc2b52e80c8ac81f311926ce1957317ca54fb8a7cc6291e
- Size of remote file:
- 4.74 MB
- SHA256:
- e6eaf9c7a3d50e76cca47c4da094a2db7ca99a2b289f3509dc98882e9debad13
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