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:
- ae8c98fc9c7dcfb30d9d71169d2b642b9e6b8aa118469b8667c3cd764800ab57
- Size of remote file:
- 4.74 MB
- SHA256:
- 9d3071ac1938039923cc4c0bd29f47bc8df5565b8ede7c7f146ce8b8049869ef
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