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:
- ccfb8e215265cc2ef92bd771f738987d04b7c9f922f22f869725658a7c8766e5
- Size of remote file:
- 14.6 kB
- SHA256:
- 95c54f1bfe3ad63d4a84ab4d893ea72e8cf876619b55a8d4a246b343613af58c
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