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:
- 1ce5b0d05c251cdc70a7a3d8223abd341d15dc48a03aaca3919285539b3aec3d
- Size of remote file:
- 4.74 MB
- SHA256:
- f44ef759461ecca9c8300409fc91376cdf9bc6fd3e7f981c463b45b83155a88e
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