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:
- ec20e4472f1d082309d137955e87385169257fa97dd90d62e59616b6302ebd38
- Size of remote file:
- 499 MB
- SHA256:
- f61864cf7e6f9d46669bc436e516e34214386bdb15b230ae752a353b9809c1da
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