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:
- 19e9ef95263894a54e5c985287112c43aff6806147651ce393f70df943089266
- Size of remote file:
- 5.84 kB
- SHA256:
- 1b3224c43959a758d90139d1f041398d3f4596dac679c781c4b9c852d68e75c0
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