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:
- f16dc9f498e225a95e1a78c19e46c4b4798f5a43b84950d86606de0e99d0778f
- Size of remote file:
- 1.47 kB
- SHA256:
- f4855ada6645153c8b9ade88f67af7ed1ada03bd51c7a3b930d35e9ee868b645
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