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:
- a67b1eef5468fc9471fa418c83bc5d0b46a5d8703230f5ca6224a8bb5737b5a0
- Size of remote file:
- 1.38 kB
- SHA256:
- 8d6fca631a6bcdfa2416587314d206a68f40e27a07bc674b76e72a93db4e5058
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