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:
- e2027cf52eb4010204b84c915395122f7fa97289e62903e724a42021fbcbbd8f
- Size of remote file:
- 14.6 kB
- SHA256:
- 16bdc36deeaf14775fd85d01ecedc37916349bbe5f07f55e0288ff89ba9db38c
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