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:
- c61ebbd329f03464c5431709136ee68701b7c8cc97b22b60190c8cf6526dbb50
- Size of remote file:
- 507 MB
- SHA256:
- 2dd1ca26fa229c9545670ecf9e66be143b5e587e21443286e1fc268bd145046a
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