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@@ -34,29 +34,31 @@ More details on model performance across various devices, can be found
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  | Model | 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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- | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.338 ms | 0 - 1 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.996 ms | 0 - 2 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
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- | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.479 ms | 0 - 2 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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- | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.907 ms | 0 - 22 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.648 ms | 0 - 11 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
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- | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.069 ms | 0 - 23 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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- | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.787 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.688 ms | 0 - 8 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.919 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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- | QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.345 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.926 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.345 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.926 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.296 ms | 0 - 7 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.926 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.332 ms | 0 - 2 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.92 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | SA8295P ADP | SA8295P | TFLITE | 2.265 ms | 6 - 20 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | SA8295P ADP | SA8295P | QNN | 1.73 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.869 ms | 0 - 22 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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- | QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.226 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.041 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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- | QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.533 ms | 9 - 9 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
 
 
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@@ -120,8 +122,8 @@ Profiling Results
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  QuickSRNetMedium
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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- Estimated inference time (ms) : 1.3
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- Estimated peak memory usage (MB): [0, 1]
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  Total # Ops : 17
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  Compute Unit(s) : NPU (14 ops) CPU (3 ops)
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  ```
@@ -142,13 +144,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.quicksrnetmedium import
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  # Load the model
 
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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  ```
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  | Model | 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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+ | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.422 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.98 ms | 0 - 60 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
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+ | QuickSRNetMedium | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.496 ms | 0 - 2 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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+ | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.908 ms | 0 - 12 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.652 ms | 0 - 11 MB | FP16 | NPU | [QuickSRNetMedium.so](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.so) |
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+ | QuickSRNetMedium | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.04 ms | 0 - 24 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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+ | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.001 ms | 0 - 8 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.691 ms | 0 - 8 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.916 ms | 0 - 15 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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+ | QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.35 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.906 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | SA7255P ADP | SA7255P | TFLITE | 16.142 ms | 6 - 16 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | SA7255P ADP | SA7255P | QNN | 14.141 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.3 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.936 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | SA8295P ADP | SA8295P | TFLITE | 4.365 ms | 6 - 13 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | SA8295P ADP | SA8295P | QNN | 2.517 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.332 ms | 0 - 3 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.915 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | SA8775P ADP | SA8775P | TFLITE | 2.414 ms | 0 - 8 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | SA8775P ADP | SA8775P | QNN | 1.944 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.97 ms | 0 - 11 MB | FP16 | NPU | [QuickSRNetMedium.tflite](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.tflite) |
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+ | QuickSRNetMedium | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.236 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.561 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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+ | QuickSRNetMedium | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.522 ms | 8 - 8 MB | FP16 | NPU | [QuickSRNetMedium.onnx](https://huggingface.co/qualcomm/QuickSRNetMedium/blob/main/QuickSRNetMedium.onnx) |
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  QuickSRNetMedium
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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+ Estimated inference time (ms) : 1.4
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+ Estimated peak memory usage (MB): [0, 3]
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  Total # Ops : 17
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  Compute Unit(s) : NPU (14 ops) CPU (3 ops)
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  ```
 
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  import torch
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  import qai_hub as hub
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+ from qai_hub_models.models.quicksrnetmedium import Model
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  # Load the model
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+ torch_model = Model.from_pretrained()
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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+ # Trace model
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+ input_shape = torch_model.get_input_spec()
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+ sample_inputs = torch_model.sample_inputs()
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+
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+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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+
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+ # Compile model on a specific device
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+ compile_job = hub.submit_compile_job(
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+ model=pt_model,
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+ device=device,
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+ input_specs=torch_model.get_input_spec(),
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+ )
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+
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+ # Get target model to run on-device
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+ target_model = compile_job.get_target_model()
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  ```
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