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:
- c12faad61dfc1c648be7a908a92e7f9d0baab6cbdbe09c73d657b35e6997db30
- Size of remote file:
- 14.6 kB
- SHA256:
- 86fc3427fb7e9d84ae47e638462150316077e8b19961d87422e2bfcc3d1beab3
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