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:
- b832b38f98589e1b50ac6406747a6c726733e429820bba28d99d7f5f27d042b9
- Size of remote file:
- 1.47 kB
- SHA256:
- ae70cc056ae3330cc58f33660559174defa991e45f91baa83a3ceffabb8b19fd
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