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:
- caba5b3a2714a449ce697e8e2494a236ab7d24dcc94dcf3fe7edde9a3fdea7a3
- Size of remote file:
- 499 MB
- SHA256:
- 9c44ac861ac2b8fa337d7fb36dbec3be1474c43bf7e3cd7ab7daad107f775dc3
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