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:
- 2a19934ffe0f9cb179956632327fc6fbd457f8e55ed28385a01a8bf2af5f2ffc
- Size of remote file:
- 14.6 kB
- SHA256:
- 16d01df9df5e3d357f43a862c0d6dbd8af3871aefdeaa647afae0764a9686751
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