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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 | 0.662 ms | 0 - 53 MB | FP16 | NPU | [SqueezeNet-1_1.tflite](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.73 ms | 1 - 7 MB | FP16 | NPU | [SqueezeNet-1_1.so](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.so)
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@@ -101,8 +101,8 @@ python -m qai_hub_models.models.squeezenet1_1.export
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  Profile Job summary of SqueezeNet-1_1
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 0.81 ms
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- Estimated Peak Memory Range: 0.57-0.57 MB
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  Compute Units: NPU (70) | Total (70)
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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 | 0.64 ms | 0 - 1 MB | FP16 | NPU | [SqueezeNet-1_1.tflite](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.709 ms | 1 - 4 MB | FP16 | NPU | [SqueezeNet-1_1.so](https://huggingface.co/qualcomm/SqueezeNet-1_1/blob/main/SqueezeNet-1_1.so)
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  Profile Job summary of SqueezeNet-1_1
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  --------------------------------------------------
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  Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 0.84 ms
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+ Estimated Peak Memory Range: 1.23-1.23 MB
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  Compute Units: NPU (70) | Total (70)
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