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:
- b741571d8447b3907ffb50941fa8d1d5b151069f109b4bf2b0e9626ec63e58ba
- Size of remote file:
- 14.6 kB
- SHA256:
- 2ab60503702bb1354c5765d2c7d1ba9f47491e07ac8864941c7126246dccd968
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