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:
- 683b8ef0f602ebeeb82e803e258ac5ff35ce5e35570076b0da1255aefd45bb47
- Size of remote file:
- 5.84 kB
- SHA256:
- 716747561b45f935ce7bd12c1883ff0618d3af217eb0ce2bf14bba6f805506ea
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