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minchul
/
cvlface_DFA_resnet50

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

Instructions to use minchul/cvlface_DFA_resnet50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use minchul/cvlface_DFA_resnet50 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="minchul/cvlface_DFA_resnet50", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("minchul/cvlface_DFA_resnet50", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cvlface_DFA_resnet50
220 MB
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  • 1 contributor
History: 152 commits
minchul's picture
minchul
Update README.md
ccbffdb verified 11 months ago
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