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:
- 270a31b20bb01991d2664a91a4a1885835b9fb834a1da439f3056317435bc559
- Size of remote file:
- 14.6 kB
- SHA256:
- e7a88290d1fe94434568e18f7de3e57f24dd9a631fd2b477ff8367461c0ed128
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