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BootsofLagrangian
/
ortho-vit-b-imagenet1k-hf

Image Classification
Transformers
Safetensors
ortho_vit
computer-vision
vit
vision-transformer
orthogonal-residual-updates
imagenet
custom_code
Model card Files Files and versions
xet
Community

Instructions to use BootsofLagrangian/ortho-vit-b-imagenet1k-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use BootsofLagrangian/ortho-vit-b-imagenet1k-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="BootsofLagrangian/ortho-vit-b-imagenet1k-hf", trust_remote_code=True)
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModelForImageClassification
    model = AutoModelForImageClassification.from_pretrained("BootsofLagrangian/ortho-vit-b-imagenet1k-hf", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ortho-vit-b-imagenet1k-hf / img
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  • 1 contributor
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BootsofLagrangian
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