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:
- f7e81effc3d10193469e9d2f57dab93314b8c73929bdb6e769e04cc79119e14b
- Size of remote file:
- 4.74 MB
- SHA256:
- 098d03c86fe53a3089a267670691e3962e4c472851441ae635a00cc4591c4859
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