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:
- 4c5f08cc95133ca63169e48e612aacc2251e96382a950d051973170901854ce9
- Size of remote file:
- 1.38 kB
- SHA256:
- 29c159530c0b045d9326d40e787007ff4922dc4adeb35441be0870744bf816a6
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