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:
- 908cbfae5149ae71e6e38b6b0ebac1d1d5812376f3b0e05f5b56517c98c213c1
- Size of remote file:
- 499 MB
- SHA256:
- 43039dfba735b6122116023d874be54ad6afdcea0c49ac8cd3ddf7ca7f697196
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