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:
- 90d45e3774dad66875f5796b3416001d93f34148c233434798b9579b0dbcf8f3
- Size of remote file:
- 1.47 kB
- SHA256:
- ea2915d03c29503502184966928010b43e225be9484b2fb51440baa31032967c
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