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:
- 2cfc7219528ea06e2d7e0ff89149cf6fa0a070382b2b181af917b045403c41e8
- Size of remote file:
- 500 MB
- SHA256:
- 7f885697b847c735434586c6d419aa01b48ecf1438d8541d53c24022a71382c5
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