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:
- 41b7d904e0ddc16b7beddf768ecfeb499fbd2b61c0629495d16e931cfe8d2186
- Size of remote file:
- 499 MB
- SHA256:
- 0aeaccc7446a00f35bec59d86fa902e66ebf161710cff77f1fbc7e23c5c62aa4
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