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:
- 2e3505e2d31bff1e3903ed4c8ec9d480b2051561911aaec90342ed053a3c048b
- Size of remote file:
- 4.74 MB
- SHA256:
- 77eed31466f224a3ed4dccdd0233a5e16ed17aae4a8afe7d35bd17f70ab96e11
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