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:
- eb6b3377609424b3341f05107add72483254be00553fde1cde8693716fc703f6
- Size of remote file:
- 14.6 kB
- SHA256:
- 01417872332d957944438dd9b4b8729804838252520f015df0aea72edce6b540
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