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:
- 16a9e5531ca11034630c5b5156a265900fb277f01db9a67e6a45cefa03d6737d
- Size of remote file:
- 499 MB
- SHA256:
- b192788a463f83cc6a8bdf90d356f0e138eef040e0faa321944e784ac225fb1b
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