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21 lines
788 B
Markdown
21 lines
788 B
Markdown
# candle-efficientvit
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[EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention](https://huggingface.co/papers/2305.07027).
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This candle implementation uses a pre-trained EfficientViT (from Microsoft Research Asia) network for inference.
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The classification head has been trained on the ImageNet dataset and returns the probabilities for the top-5 classes.
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## Running an example
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```
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$ cargo run --example efficientvit --release -- --image candle-examples/examples/yolo-v8/assets/bike.jpg --which m1
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loaded image Tensor[dims 3, 224, 224; f32]
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model built
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mountain bike, all-terrain bike, off-roader: 69.80%
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unicycle, monocycle : 13.03%
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bicycle-built-for-two, tandem bicycle, tandem: 9.28%
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crash helmet : 2.25%
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alp : 0.46%
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```
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