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:
- 94f0e518ea87fefdf80327fe789fa9985ac091ff57a9c338dc1c955275f71f53
- Size of remote file:
- 4.74 MB
- SHA256:
- 9be0a3572824221e76a9dea62a892f90890c9b5f53c5e85f3c5d9d5247276b01
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