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:
- fcf881e8744415299f85124c002afb41120d2777b7130f203a8485b0a6751e44
- Size of remote file:
- 14.7 kB
- SHA256:
- 569f2d754635d1166e6fa072476908b41ee096442e70e30c444a50d0f1ad79a2
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