Upload README.md with huggingface_hub

README.md

@@ -25,7 +25,7 @@ More details on model performance across various devices, can be found
 - **Model Type:** Super resolution
 - **Model Stats:**
   - Model checkpoint: xlsr_3x_checkpoint
-  - Input resolution: 640x360
+  - Input resolution: 128x128
   - Number of parameters: 22.0K
   - Model size: 92.7 KB
 
@@ -34,8 +34,8 @@ 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 | 2.486 ms | 0 - 7 MB | FP16 | NPU |  [XLSR.tflite](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.tflite) 
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.374 ms | 0 - 15 MB | FP16 | NPU |  [XLSR.so](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.so) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 2.535 ms | 0 - 2 MB | FP16 | NPU |  [XLSR.tflite](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.tflite) 
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 1.355 ms | 0 - 68 MB | FP16 | NPU |  [XLSR.so](https://huggingface.co/qualcomm/XLSR/blob/main/XLSR.so) 
 
 
 
@@ -97,8 +97,8 @@ python -m qai_hub_models.models.xlsr.export
 Profile Job summary of XLSR
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 3.63 ms
-Estimated Peak Memory Range: 0.21-0.21 MB
+Estimated Inference Time: 1.50 ms
+Estimated Peak Memory Range: 0.20-0.20 MB
 Compute Units: NPU (21) | Total (21)
 
 
@@ -124,7 +124,6 @@ from qai_hub_models.models.xlsr import Model
 
 # Load the model
 torch_model = Model.from_pretrained()
-torch_model.eval()
 
 # Device
 device = hub.Device("Samsung Galaxy S23")