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:
- 85b3d5c43ecb3cec5d10c2b6eda216899158b964f5591e4b02717e65089409d2
- Size of remote file:
- 4.74 MB
- SHA256:
- 54f9e03da26cb2cf86cb6f1f437f201f3cbc236e6729b9abd7d153a24ce31ee8
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