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:
- 444b85d18ef573575a988e45139250e2103e13f5b0b862460c93d0e123e34a3a
- Size of remote file:
- 4.74 MB
- SHA256:
- 11155d039b15987237b966bb2fb0ef9114f7e74e2d27e7b3542c52d18d9eb0ae
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