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Upload README.md with huggingface_hub

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@@ -39,8 +39,8 @@ 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 | 0.844 ms | 0 - 2 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.879 ms | 1 - 5 MB | FP16 | NPU | [MobileNet-v3-Small.so](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.so)
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@@ -101,9 +101,9 @@ python -m qai_hub_models.models.mobilenet_v3_small.export
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  ```
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  Profile Job summary of MobileNet-v3-Small
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  --------------------------------------------------
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- Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 0.98 ms
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- Estimated Peak Memory Range: 0.57-0.57 MB
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  Compute Units: NPU (126) | Total (126)
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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 | 0.845 ms | 0 - 2 MB | FP16 | NPU | [MobileNet-v3-Small.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.87 ms | 0 - 159 MB | FP16 | NPU | [MobileNet-v3-Small.so](https://huggingface.co/qualcomm/MobileNet-v3-Small/blob/main/MobileNet-v3-Small.so)
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  ```
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  Profile Job summary of MobileNet-v3-Small
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  --------------------------------------------------
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+ Device: SA8255 (Proxy) (13)
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+ Estimated Inference Time: 0.87 ms
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+ Estimated Peak Memory Range: 0.02-169.88 MB
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  Compute Units: NPU (126) | Total (126)
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