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:
- d3404ca8b8aec3e68d514936b4bb6a9fbdcce4bd5a50377e49aff5403a6ddfa2
- Size of remote file:
- 1.98 kB
- SHA256:
- 7a7b529ec537532740c4a59e991d7712054567f97e892280717f0556851d5758
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