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mpiorczynski
/
relu-vit-base-patch16-224

Image Classification
Transformers
Safetensors
vit
Model card Files Files and versions
xet
Community

Instructions to use mpiorczynski/relu-vit-base-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mpiorczynski/relu-vit-base-patch16-224 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="mpiorczynski/relu-vit-base-patch16-224")
    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("mpiorczynski/relu-vit-base-patch16-224")
    model = AutoModelForImageClassification.from_pretrained("mpiorczynski/relu-vit-base-patch16-224")
  • Notebooks
  • Google Colab
  • Kaggle
relu-vit-base-patch16-224
346 MB
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  • 1 contributor
History: 3 commits
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mpiorczynski
Update README.md
fb96412 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    54 Bytes
    Update README.md about 2 years ago
  • config.json
    69.7 kB
    Upload model weights about 2 years ago
  • model.safetensors
    346 MB
    xet
    Upload model weights about 2 years ago