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:
- 1fc22f0cc25841f12e0b5f567539d850b72956df4a053beed6b549ac6acafe49
- Size of remote file:
- 1.38 kB
- SHA256:
- 5ecbbd6c6dff6f228661737c64adc040f47ef9a21f9a0d2159df5b5b4adb3e9d
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