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:
- abfd5d8c0e6c5632682fb5c6652d8d0a9754fbb931ee46420ce063f3378dac9a
- Size of remote file:
- 14.6 kB
- SHA256:
- 258a4d4a5906740ae1c7d53c22c4cecc53b264d846f8ca46c1c6ef0e59a9e4bf
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