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:
- ad3dc6f1aa783bddb7cbcb757c1d883adbb24d6b2980a0ba698811616defcc4b
- Size of remote file:
- 14.6 kB
- SHA256:
- 3e7791e4d8a1036f8ae59509e881edac06bb87fcad02948c7b052c6932481281
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