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:
- 96ec1f94cf1ea09e9d9ce687217a99f3fc4a4c2376620ebd3d72d782dc86feed
- Size of remote file:
- 1.38 kB
- SHA256:
- 68e7755116e5a328e3b0591c5c7b4e2b055e71a1d3865d416b158778f49a17e2
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