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musaoc
/
gender_vender

Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use musaoc/gender_vender with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="musaoc/gender_vender")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("musaoc/gender_vender")
    model = AutoModelForImageClassification.from_pretrained("musaoc/gender_vender")
  • Notebooks
  • Google Colab
  • Kaggle
gender_vender
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
musaoc's picture
musaoc
Update README.md
ce5cd6b verified almost 2 years ago
  • images
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  • runs
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  • .gitattributes
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  • README.md
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  • config.json
    779 Bytes
    commit files to HF hub almost 2 years ago
  • model.safetensors
    343 MB
    xet
    commit files to HF hub almost 2 years ago
  • preprocessor_config.json
    580 Bytes
    commit files to HF hub almost 2 years ago