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Upload README.md with huggingface_hub

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@@ -36,8 +36,8 @@ 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 | 38.211 ms | 0 - 7 MB | FP16 | NPU | [Swin-Base.tflite](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 31.64 ms | 0 - 47 MB | FP16 | NPU | [Swin-Base.so](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.so)
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  ## Installation
@@ -98,7 +98,7 @@ python -m qai_hub_models.models.swin_base.export
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  Profile Job summary of Swin-Base
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 38.97 ms
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  Estimated Peak Memory Range: 0.57-0.57 MB
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  Compute Units: NPU (1255) | Total (1255)
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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 | 38.343 ms | 0 - 4 MB | FP16 | NPU | [Swin-Base.tflite](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 31.373 ms | 0 - 45 MB | FP16 | NPU | [Swin-Base.so](https://huggingface.co/qualcomm/Swin-Base/blob/main/Swin-Base.so)
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  ## Installation
 
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  Profile Job summary of Swin-Base
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 39.14 ms
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  Estimated Peak Memory Range: 0.57-0.57 MB
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  Compute Units: NPU (1255) | Total (1255)
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