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:
- 7d03098a742c0696bf337ef683c7524bdb6f217baa498a5eed7513810b646ee9
- Size of remote file:
- 14.6 kB
- SHA256:
- 1a9ab4f75b99203755841ed328e95e73d1e090a77e9b99ba1e6303dd9271f635
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