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:
- a9c26e8418f21683eacc9e83493daf2b975e58b2731aea904b5509c49bae7a03
- Size of remote file:
- 1.01 GB
- SHA256:
- 47d4ef5b08e045fc8d0e273d93a6504ca621663aabe70342e6b7477337a51dea
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