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:
- 0c8f8e4a24337e1ab4f9c98c81eb6e7f93d941d9b1c8c0a820a6349edda2f3bb
- Size of remote file:
- 1.47 kB
- SHA256:
- 9ee0c2dedc3c352f4004205886d6222fa3ba0cc037e9e0892a04434f44cd5ac9
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