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Upload README.md with huggingface_hub

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@@ -35,8 +35,8 @@ 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 | 1.086 ms | 0 - 2 MB | INT8 | NPU | [XLSR-Quantized.tflite](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.tflite)
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.801 ms | 0 - 14 MB | INT8 | NPU | [XLSR-Quantized.so](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.so)
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@@ -98,10 +98,10 @@ python -m qai_hub_models.models.xlsr_quantized.export
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  ```
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  Profile Job summary of XLSR-Quantized
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  --------------------------------------------------
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- Device: SA8255 (Proxy) (13)
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- Estimated Inference Time: 0.80 ms
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- Estimated Peak Memory Range: 0.06-33.15 MB
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- Compute Units: NPU (17) | Total (17)
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  ```
@@ -109,6 +109,20 @@ Compute Units: NPU (17) | Total (17)
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  ## Deploying compiled model to Android
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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 | 1.125 ms | 0 - 1 MB | INT8 | NPU | [XLSR-Quantized.tflite](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.tflite)
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+ | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.651 ms | 0 - 3 MB | INT8 | NPU | [XLSR-Quantized.so](https://huggingface.co/qualcomm/XLSR-Quantized/blob/main/XLSR-Quantized.so)
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  ```
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  Profile Job summary of XLSR-Quantized
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  --------------------------------------------------
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+ Device: Snapdragon X Elite CRD (11)
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+ Estimated Inference Time: 0.71 ms
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+ Estimated Peak Memory Range: 0.06-0.06 MB
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+ Compute Units: NPU (16) | Total (16)
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  ```
 
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+ ## Run demo on a cloud-hosted device
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+
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+ You can also run the demo on-device.
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+ ```bash
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+ python -m qai_hub_models.models.xlsr_quantized.demo --on-device
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+ ```
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+ **NOTE**: If you want running in a Jupyter Notebook or Google Colab like
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+ environment, please add the following to your cell (instead of the above).
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+ ```
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+ %run -m qai_hub_models.models.xlsr_quantized.demo -- --on-device
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+ ```
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+
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  ## Deploying compiled model to Android
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