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:
- 45ce866e7106fda9a1642430908fc48fb54c872784e50c6ab3208d7e90c580e7
- Size of remote file:
- 1.47 kB
- SHA256:
- 7c29bb37c0e4d396e1abe4e58ad68c1c2bb1f316300fb1ed3fa32cb05ad49f59
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