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:
- a7e7621d3174f10789a8c1e21dd209ccf896ee1cf4e4670e006766e608eef17c
- Size of remote file:
- 1.47 kB
- SHA256:
- bcbdb018f18551e0320a4c96f210f7c7ba00d1c99f1a27c69af2ce94b0a1ff75
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