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:
- 6f2e3dbda8977c43f5af02537316f5ab87c1aa691d9a58dbaedf992c71e588c4
- Size of remote file:
- 4.74 MB
- SHA256:
- 8f717867bc2c783e925375ba468503dfe9d122ce9405c04cfa35dbce370d3459
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