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:
- 94cf021efff7ad9318b324c801ce8aa0efd79b5895323e0cd88e95581a6e77a7
- Size of remote file:
- 499 MB
- SHA256:
- 566a457eebb14580aa532ff7a91f8a93a38c52de2a1c6c9154c6ab26dc2b235b
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