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:
- 36a1284b2f674cef48654dae5729f7cfb64473be8d0a4d9c737a1a62705b2b50
- Size of remote file:
- 14.6 kB
- SHA256:
- ddddccf76b63f161c92bc8774c3df6f375bf2ce43e44a910de13434d0630025e
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