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:
- 3f157b1fdbe52d56950f0e5ff40a56d5edbeeb57eacad0190d108638e6bb0990
- Size of remote file:
- 1.47 kB
- SHA256:
- e3b8e4d246f456ce3992c51fccc57c0513a8a8df23d5465ef01e7a801b2334f2
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