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Upload README.md with huggingface_hub

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@@ -36,7 +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 | 7.125 ms | 1 - 2 MB | INT8 | NPU | [FFNet-54S-Quantized.tflite](https://huggingface.co/qualcomm/FFNet-54S-Quantized/blob/main/FFNet-54S-Quantized.tflite)
 
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  ## Installation
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  ```
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  Profile Job summary of FFNet-54S-Quantized
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  --------------------------------------------------
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- Device: QCS8550 (Proxy) (12)
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- Estimated Inference Time: 10.21 ms
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- Estimated Peak Memory Range: 2.41-4.14 MB
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- Compute Units: NPU (120) | Total (120)
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  ```
 
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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 | 7.101 ms | 1 - 2 MB | INT8 | NPU | [FFNet-54S-Quantized.tflite](https://huggingface.co/qualcomm/FFNet-54S-Quantized/blob/main/FFNet-54S-Quantized.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 4.974 ms | 6 - 19 MB | INT8 | NPU | [FFNet-54S-Quantized.so](https://huggingface.co/qualcomm/FFNet-54S-Quantized/blob/main/FFNet-54S-Quantized.so)
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  ## Installation
 
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  ```
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  Profile Job summary of FFNet-54S-Quantized
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  --------------------------------------------------
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+ Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 6.01 ms
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+ Estimated Peak Memory Range: 6.01-6.01 MB
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+ Compute Units: NPU (110) | Total (110)
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  ```