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:
- 213ea6abc74f755c2aa1598047985366bec1d39b21de7045428e6b66b9a8f735
- Size of remote file:
- 14.6 kB
- SHA256:
- 41423e0b141f29f76810e064cf37e70eecdd55389626f946e033ae79a869228f
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