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:
- 29d7ce4ba78ba9810adf38b8b044fa5c3c1224c88c0129db8792e2f2d8432c26
- Size of remote file:
- 507 MB
- SHA256:
- 363c055b8141ea1f6553effaa0e028f6f46078705a1b45e3645e6c1f8cafdfc9
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