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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 | 1.365 ms | 0 - 3 MB | FP16 | NPU | [Posenet-Mobilenet.tflite](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.446 ms | 2 - 12 MB | FP16 | NPU | [Posenet-Mobilenet.so](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.so)
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@@ -99,7 +99,7 @@ python -m qai_hub_models.models.posenet_mobilenet.export
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  Profile Job summary of Posenet-Mobilenet
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 1.77 ms
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  Estimated Peak Memory Range: 1.52-1.52 MB
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  Compute Units: NPU (69) | Total (69)
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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 | 1.367 ms | 0 - 7 MB | FP16 | NPU | [Posenet-Mobilenet.tflite](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.444 ms | 0 - 13 MB | FP16 | NPU | [Posenet-Mobilenet.so](https://huggingface.co/qualcomm/Posenet-Mobilenet/blob/main/Posenet-Mobilenet.so)
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  Profile Job summary of Posenet-Mobilenet
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 1.57 ms
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  Estimated Peak Memory Range: 1.52-1.52 MB
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  Compute Units: NPU (69) | Total (69)
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