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Non-SHADovcy
/
synthetic-cpp-code-detection

Feature Extraction
Transformers
Safetensors
custom_model
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Non-SHADovcy/synthetic-cpp-code-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Non-SHADovcy/synthetic-cpp-code-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Non-SHADovcy/synthetic-cpp-code-detection", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Non-SHADovcy/synthetic-cpp-code-detection", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
synthetic-cpp-code-detection
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  • 1 contributor
History: 2 commits
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JohnGrace
Upload model
adef9f2 verified almost 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • model.safetensors
    499 MB
    xet
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  • model_arch.py
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  • model_config.py
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