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:
- 7089a14c5a39d6b54d71744ee09ea71e87e80f1c9d2304fc375d6aa7bec05859
- Size of remote file:
- 1.38 kB
- SHA256:
- 219ff13853be632715e4782d006a8118fa78e2f553c45a6f409aa4675f4031c3
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