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:
- 9114b567a75588570758852de22770b55164bb41f0c0fcbd80b2a074ed8067ef
- Size of remote file:
- 4.74 MB
- SHA256:
- 8bbf5f814de5ac459e2a381ea282bdad423668e458706b7dbcc21cd3919662de
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