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:
- f8b63e6d1c6469e0fdd27d6df8b7ef2c145bd3d0458a14f6a4db857334f7c8c8
- Size of remote file:
- 1.47 kB
- SHA256:
- 751709a16f55bce9f670805512a4ac28a4b3f402b1eecc52a1097cfeac6fb5d7
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