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:
- f6681b4f4cc92d330d67001a632fe9c1fa0f3e824663be407a2d8c0a75da10c0
- Size of remote file:
- 500 MB
- SHA256:
- 47bd788b85a09dffa89bae3ba9569ff70403400bb38dae2d3c9a242a64010342
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