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:
- bd3c26b6a1efffc262e1e345f8360bce4bbfaf82ad88bb8cbf0f0e1ad3e14602
- Size of remote file:
- 5.91 kB
- SHA256:
- 2442ad24c09a6289958ec89eeef865760137153dc7f53d04b13f7b0926f8f307
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