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:
- b460a61eac67bdfc7a5da1e8d1547053ce8c693469c69566eb15334ceb1d5d8b
- Size of remote file:
- 4.74 MB
- SHA256:
- f7c3f30249d8e1bfbfb962de7737378143dd95355634be8f01ab5d26730903e8
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