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:
- 9d5e6c9c4c7769dac647ce31559a80d991bed49f7b2a6571ba749c7b07bbb50d
- Size of remote file:
- 1.47 kB
- SHA256:
- 44e499376c1bcdb063e8e402152e4b725b246196c6753599ee18b8ce21bb2784
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