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:
- 36b0fa47e09ab3c313556cd0cb22abc2b0f837aec6d218fa39eff89454194b01
- Size of remote file:
- 1.98 kB
- SHA256:
- 58cf5dca12bbc3f7cc35c5b494c89f5091276dea150ca98ff18b2b05ad54f539
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