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:
- 5ef0699df4931ab3a5e439ed8a82ea24b01c08e0a416dd38d9385d8ab52fa551
- Size of remote file:
- 1.47 kB
- SHA256:
- dd0aac41bfa547f4a1790a56d1fdcb6598cb130255e5d0420b6b94b14c070642
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