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:
- a5434b6b03f724026a06915935a230bfef89a95b82ef0a6176f38126157e9be2
- Size of remote file:
- 4.74 MB
- SHA256:
- 30f7a1f5c79291da718c4ae121ac0f4c9a180b2f3af2e9661afc6d2c49de08c1
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