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:
- 9c8d737d56e3e0e0542c69936f29100b8c9a618f990401c17a84092a53bb5f77
- Size of remote file:
- 4.74 MB
- SHA256:
- 18084ee24aa7c3f530476c469a3a46d151546383116de30be055e61fdb72b1f9
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