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:
- c2a6b4ab914595ad17b10cdddf7285ed8f49ebf24ea89edb8211c68f4f2f9e98
- Size of remote file:
- 4.74 MB
- SHA256:
- 6a851f6c3b1be06e302a82dee43a3086a19a82c085cdba9ac3ee2e49b5b4ea15
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