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:
- e6d6bb98bc5c01663b11744a3675a0abbcd10a59404860f5b7de9fd1afb42e6b
- Size of remote file:
- 499 MB
- SHA256:
- 485203fa36e87ac4cfb458f700b73d65e6e5b9d00fd4fe0d4963aac7799de000
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