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:
- 5bb7dab67dc2ef64ca817e11f54fe12720bee519c662b2c9b9952d96dc2c393f
- Size of remote file:
- 1.98 kB
- SHA256:
- a7eda7ec867288da79c71f9fc41a7c2af734e71bb221a093021bd48a0eb65b1f
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