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:
- 47db0a421ca9a8c0491fedf901a038f80fbe9a7b24b4d71cec4361d7d936b470
- Size of remote file:
- 14.6 kB
- SHA256:
- 8f4c0ada11a6005c8c98863a05528b7bc19b7f031adc7b5c1844698d8bfd2df1
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