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:
- f5ce357be98aae513fa9082012bfbaa1871fd82c73a3e3bcca5e274c6f8596f5
- Size of remote file:
- 5.84 kB
- SHA256:
- 7ec2974753acccea9af7a8eb9c2abfaaba85cdcf89c926488b103f5662876bb0
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