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:
- 879e74f8df86c6203409cd86fc9ee0f3cdde56663cf6d22ca2ee58c13e418c69
- Size of remote file:
- 1.38 kB
- SHA256:
- b21c5349d5e7d02de630ebc1cb53ade1d9c6079eeb8594d223bb786011a0428b
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