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:
- a7928041cc428c1363bc5e5ae0f8f7c5f32f3d8252488124e2c5fe17e81d73d2
- Size of remote file:
- 499 MB
- SHA256:
- 832cb47285e1ba2464701299ede1a0328d817699ffed22da4964178055f4d577
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