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:
- 484381c28e862d2465cb822fd7babed46861f33e8ec2c9219590c0cc590ac504
- Size of remote file:
- 5.84 kB
- SHA256:
- 84799314bcc123b16dc7e721b7c0a39a7148ba4c572d589c671664f2e203e207
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