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:
- 9452502b5ac79e152f2c60fa748b5da90c44bdf94b752f4ab3a391df0f055c17
- Size of remote file:
- 4.74 MB
- SHA256:
- 06abb3d1d8012ad57dec880112c1b8a659fa12047c28e9f999d0969ffee7ae0b
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