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:
- 0afb29cc469ce21e21d8a8fa98fa148fae3d6af2beb3480da657136938b79f88
- Size of remote file:
- 499 MB
- SHA256:
- 984b47ee0cbc9e8aff5459859ab8785583eda66a482745e97fa137aac9d69a20
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