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:
- 746e45f64ed42e9df69e0d1706614ea3b2e77d71f3ca12fadb20931e9d8bf4ad
- Size of remote file:
- 507 MB
- SHA256:
- 8b10c733460151c1d6f8993106b670307a2bb4c4b61d05e3eae7347702daac47
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