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:
- a399f2536304cfbc71d6d7978aefca704464d32a8753cf9b46a8bf1b60ecb21a
- Size of remote file:
- 499 MB
- SHA256:
- 2db14f5114245d187b99f238d17b991310a9158b9f15747570eed5a460543c19
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