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:
- b1b569b6cf9247b29974921fdbdc88a3a5ce82945fa2912e311dd1d83cbe5c6a
- Size of remote file:
- 504 MB
- SHA256:
- 6ebf2a31a215fc8984ad39e6c7c596f69640d9f38352e02de0cbb664f847f64d
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