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:
- 7bfb4bfc5b80be2f272f4db5805916d89d0a2808c8867d6325036505cd5555f3
- Size of remote file:
- 499 MB
- SHA256:
- 9a6c45eefd9614fb19a724f97f4ede721743366c5ba423ab377866d9b30310a1
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