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:
- 165992597e64c68d106a6e4b1a8ecfc2f136f3c6c6cc8b0159fba956f7cc8e70
- Size of remote file:
- 499 MB
- SHA256:
- 320da2fc28dfd7f2b08f5a311e169db9c3172c660ca5f1f28958df59ff94a372
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