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:
- d1a37c7c8b19f0a99ec4f209443e7ed87ece09234d125a20e2df7ee8407c373b
- Size of remote file:
- 14.6 kB
- SHA256:
- 61c7c55a742bcfca5f903384e20f8e91ee2f8d2f9879952f810307a3ce3992b6
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