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:
- c564551f14c99df6cba98f40ee696de797ec2a1cc64ed8ae8672c160ff501592
- Size of remote file:
- 1.47 kB
- SHA256:
- 3e84ffe93840aa81e9948975fba71e7c089d586a9a468788d126a90f534f82ff
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