Image Classification
PyTorch
TF Lite
ONNX
backbone
android
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Upload README.md with huggingface_hub

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@@ -38,8 +38,8 @@ More details on model performance across various devices, can be found
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 28.88 ms | 0 - 3 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 23.486 ms | 0 - 41 MB | FP16 | NPU | [Swin-Small.so](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.so)
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@@ -101,8 +101,8 @@ python -m qai_hub_models.models.swin_small.export
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  Profile Job summary of Swin-Small
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  --------------------------------------------------
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  Device: SA8255 (Proxy) (13)
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- Estimated Inference Time: 23.56 ms
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- Estimated Peak Memory Range: 0.04-42.88 MB
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  Compute Units: NPU (1246) | Total (1246)
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  | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  | ---|---|---|---|---|---|---|---|
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 28.867 ms | 0 - 6 MB | FP16 | NPU | [Swin-Small.tflite](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 23.696 ms | 0 - 35 MB | FP16 | NPU | [Swin-Small.so](https://huggingface.co/qualcomm/Swin-Small/blob/main/Swin-Small.so)
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  Profile Job summary of Swin-Small
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  --------------------------------------------------
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  Device: SA8255 (Proxy) (13)
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+ Estimated Inference Time: 23.40 ms
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+ Estimated Peak Memory Range: 0.04-38.23 MB
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  Compute Units: NPU (1246) | Total (1246)
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