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:
- 2bda70b97cf53d0509a7091a10d33d03cd19f147110ee3dc3e5abfcb436b104b
- Size of remote file:
- 1.01 GB
- SHA256:
- 095c3e4feadd109a052e5571a227fcae6e5a728f8af8b1af2afa8f00155e7db4
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