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:
- c178c0cef6c0c53bcc49ca8faeae4f6407d722b11fc3cfcdb0429fb46753b880
- Size of remote file:
- 4.74 MB
- SHA256:
- 787767f32f92db97a85e79ae7369b941462a2aa040ad04230091e634625d1bd5
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