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:
- a4f407b57596f419f1d427e28023e5851040f8ad64e7e288d1b0a21cc378de10
- Size of remote file:
- 4.74 MB
- SHA256:
- 88fdf16b62a54ab79547842b5da1a1d264b9e61aa634f3b5182194dadabc4b0e
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