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:
- 2ba4e866310e66b2098678662d98ad7a9ac0082ae5af754f9d424a8c8cd2c4f6
- Size of remote file:
- 504 MB
- SHA256:
- b58314c6827ac34bcd352ce1fc7950b1d20ca398a3a892afc4dae05a21ce8916
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