Upload README.md with huggingface_hub

README.md

@@ -35,8 +35,8 @@ More details on model performance across various devices, can be found
 
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.041 ms | 0 - 2 MB | FP16 | NPU |  [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.083 ms | 0 - 25 MB | FP16 | NPU |  [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.043 ms | 0 - 2 MB | FP16 | NPU |  [GoogLeNet.tflite](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.085 ms | 0 - 25 MB | FP16 | NPU |  [GoogLeNet.so](https://huggingface.co/qualcomm/GoogLeNet/blob/main/GoogLeNet.so) 
 
 
 ## Installation
@@ -97,16 +97,16 @@ python -m qai_hub_models.models.googlenet.export
 Profile Job summary of GoogLeNet
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.65 ms
-Estimated Peak Memory Range: 0.02-43.31 MB
+Estimated Inference Time: 0.69 ms
+Estimated Peak Memory Range: 0.01-43.58 MB
 Compute Units: NPU (84) | Total (84)
 
 Profile Job summary of GoogLeNet
 --------------------------------------------------
 Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.68 ms
-Estimated Peak Memory Range: 0.00-47.66 MB
-Compute Units: NPU (144) | Total (144)
+Estimated Inference Time: 0.69 ms
+Estimated Peak Memory Range: 0.59-51.77 MB
+Compute Units: NPU (143) | Total (143)
 
 
 ```