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:
- 9744da416589a238df275a39753dd6ec4f98d81f6cbfab9eec79d8844e505fab
- Size of remote file:
- 14.6 kB
- SHA256:
- 05024ca30bbf9a6ff1a8db73790ec05918dab77fd0c9366a01ba5f414ee56dc5
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