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:
- 2ecc4c5081f9f46153f4e14df5ac9802a4cda7b5d6f699dec29b477c8886d37a
- Size of remote file:
- 14.6 kB
- SHA256:
- a69a2dd012809f4c1402b56a463f5f04ca5d8c3ea0ff42d1da133d0f80b1c5b9
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