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:
- 8334baaec0215ad5369f34f528929f6b00efec28a3ea2aad7187937690d053b2
- Size of remote file:
- 1.38 kB
- SHA256:
- 90bbc0bb51ada144c607a2d0e8dae7a41e3cca0fcbc5a9257404d9d17b7a3f9d
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