Upload README.md with huggingface_hub

README.md

@@ -34,10 +34,10 @@ 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 | 0.963 ms | 0 - 3 MB | FP16 | NPU |  [MediaPipeHandDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.204 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.013 ms | 1 - 20 MB | FP16 | NPU |  [MediaPipeHandDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.so) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.286 ms | 0 - 10 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.953 ms | 0 - 7 MB | FP16 | NPU |  [MediaPipeHandDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 1.259 ms | 0 - 2 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.019 ms | 1 - 8 MB | FP16 | NPU |  [MediaPipeHandDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandDetector.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.293 ms | 1 - 10 MB | FP16 | NPU |  [MediaPipeHandLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Hand-Detection/blob/main/MediaPipeHandLandmarkDetector.so) 
 
 
 ## Installation
@@ -94,37 +94,6 @@ device. This script does the following:
 python -m qai_hub_models.models.mediapipe_hand.export
 ```
 
-```
-Profile Job summary of MediaPipeHandDetector
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.68 ms
-Estimated Peak Memory Range: 0.02-50.05 MB
-Compute Units: NPU (152) | Total (152)
-
-Profile Job summary of MediaPipeHandLandmarkDetector
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.89 ms
-Estimated Peak Memory Range: 0.01-53.81 MB
-Compute Units: NPU (159) | Total (159)
-
-Profile Job summary of MediaPipeHandDetector
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.72 ms
-Estimated Peak Memory Range: 0.77-52.90 MB
-Compute Units: NPU (197) | Total (197)
-
-Profile Job summary of MediaPipeHandLandmarkDetector
---------------------------------------------------
-Device: Samsung Galaxy S24 (14)
-Estimated Inference Time: 0.97 ms
-Estimated Peak Memory Range: 0.77-60.12 MB
-Compute Units: NPU (210) | Total (210)
-
-
-```
 ## How does this work?
 
 This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/MediaPipe-Hand-Detection/export.py)