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:
- b5c846c40f93a46e63df08f13da431925fc2de08940bc7b5d29c2011d1756552
- Size of remote file:
- 4.74 MB
- SHA256:
- 049a1b81e3e7aa55a57842ad2677214c0f24624c3d1b8ad90c7309df31ce4611
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