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:
- 05c00001a5f90c46ee7c0d217b552388dc101c2a3a34bbde3272ea1745bc3633
- Size of remote file:
- 1.98 kB
- SHA256:
- 36fc1bf4cec216a4c63e97e36749c2b39b07e1b61c9e31043ed26f2355ccb8a3
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