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:
- a30d8e97ed6ee87816fb14c8e5c9530a8e5e5282445e4b932737552354fdd460
- Size of remote file:
- 4.74 MB
- SHA256:
- e82f4498e7198e81b562310f4ff40c7971d53a8a84bff0b71e58281976613451
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