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:
- 10bb573dc87d61da57fb493036f63d583d01c4fe91d404d748bc4df796466384
- Size of remote file:
- 1.47 kB
- SHA256:
- 82af26824e4d089a1392ee4f564d426e3fd92b73b1c7ab1766017647df7f455d
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