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:
- c41cc3caa633f4597d3218e9c915cfd72299b2c031a24ecbc2c9dd9278a5449d
- Size of remote file:
- 14.6 kB
- SHA256:
- c14fee8e04f54a155bd230b5ba646418ff0f6855c5c7b1f708e2711d876c47b9
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