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:
- edba033f6896da309bcabca5d8fc0036edd91b26de52fd0ab66eb994773de432
- Size of remote file:
- 1.38 kB
- SHA256:
- ca372268f4fa9335030c0cb7aedb6cdba75f457da50e7a4034abb1a2d0843689
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