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:
- f1108ec097428c938451fdeaa0e15a2ff36d98a34c8bca585cc14c9ee45d8681
- Size of remote file:
- 14.6 kB
- SHA256:
- 05078194d8454a14fc0bdecb57189f4d64fb75d172e61d32a02397899f3aecad
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