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:
- 22154cd190e69c52355679144d6202f1dd0328d28912bda46829c8a5fa968358
- Size of remote file:
- 4.74 MB
- SHA256:
- fc46c104c26de9b07a90c7a38f083f5e2a8d00cb7be0e639f6f74084fd942547
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