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:
- b3d92eaeb7d62c56f0b86ad35da9062fba7da4d860a22d4c439dba91204afb8e
- Size of remote file:
- 1.98 kB
- SHA256:
- 18124ad748bfc730097d810fb9091df86fb381b7b11fa7d08b89a85cb79eb2be
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