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prithivMLmods
/
MetaCLIP-2-Gender-Identifier

Image Classification
Transformers
Safetensors
English
metaclip_2
text-generation-inference
gender-identifier
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/MetaCLIP-2-Gender-Identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use prithivMLmods/MetaCLIP-2-Gender-Identifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="prithivMLmods/MetaCLIP-2-Gender-Identifier")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForImageClassification
    
    processor = AutoProcessor.from_pretrained("prithivMLmods/MetaCLIP-2-Gender-Identifier")
    model = AutoModelForImageClassification.from_pretrained("prithivMLmods/MetaCLIP-2-Gender-Identifier")
  • Notebooks
  • Google Colab
  • Kaggle
MetaCLIP-2-Gender-Identifier / checkpoint-200
260 MB
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  • 1 contributor
History: 1 commit
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prithivMLmods
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  • config.json
    1.31 kB
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  • model.safetensors
    86.7 MB
    xet
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  • optimizer.pt
    173 MB
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  • preprocessor_config.json
    515 Bytes
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    1.47 kB
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  • trainer_state.json
    1.39 kB
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  • training_args.bin
    5.78 kB
    xet
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