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:
- 678bef863e1965cedbc50dd8031c3bf84f9e8b20404d9f09a6afa705ec15a703
- Size of remote file:
- 1.47 kB
- SHA256:
- 47ac724805b17e98d9ac0aaff6bfba777705a0c1dab4a62cafc1af77e1811b87
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