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vit-base-patch16-224-mirror

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PyTorch
TensorFlow
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Safetensors
vit
mirror
xai
vision-transformer
imagenet
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vit-base-patch16-224-mirror

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  1. Upload model.safetensors with huggingface_hub

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  2. Upload tf_model.h5 with huggingface_hub

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  3. Upload preprocessor_config.json with huggingface_hub

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  4. Upload config.json with huggingface_hub

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  5. Upload flax_model.msgpack with huggingface_hub

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  1. Add framework-neutral AttnLRP weights npz (torch-free ViT LRP for TF/JAX-only installs)

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  1. Add attribution README — credit: Google Research

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  2. Mirror of google/vit-base-patch16-224 SHA-256:5f17067668129d23b52524f90a805e7d9914c276d90a59a13ebe81a09e40ceca

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  3. initial commit

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