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:
- 99e7a6e03eedfebb334fa9e22aaf6fb2b8026b7ba30350b1375d0e56906e8805
- Size of remote file:
- 4.74 MB
- SHA256:
- 70b38702a884630526f66b322a7191f4b2f72ecf9f2120ef953460d1da15793f
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