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:
- 4dea629a3f091be1c8203cbe1bc4ead40a0ccd9e20713eeddcd1c5f8f7589678
- Size of remote file:
- 499 MB
- SHA256:
- edd3840232c2ce57c3ca99599da5b4b6c3d927d433e8f6cade8f19eb82e1c7d4
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