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:
- 52c618793d64471c2ab8fe4fbb5a3b9689419baac8b706875147ef8c8b99ab5d
- Size of remote file:
- 14.6 kB
- SHA256:
- 4ac91714b1ca1b10faffc2b3166093fa82f8c414c080d20fb169232c67842ca9
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