Update README.md

README.md

@@ -85,14 +85,16 @@ pip install "transformers>=4.30.0"
 To run inference using the OpenVINO backend, you can use a sample application. Below is an example script (app.py) demonstrating how to set up and run the model inference:
 
 ```
-device = "cpu"
-ov_opts = {"device_name": device, "PERFORMANCE_HINT": "LATENCY"}
+config = {hints.performance_mode: hints.PerformanceMode.THROUGHPUT}
+ov_opts = {"ov_device": "CPU", "config": config}
+torch_device = "cpu"
 
 instance = CustomEncoderWav2vec2Classifier(modules=checkpoint.mods,
                                            hparams=hparams_dict, model=classifier.mods["wav2vec2"].model,
                                            audio_file_path="speechbrain/emotion-recognition-wav2vec2-IEMOCAP/anger.wav",
                                            backend="openvino",
-                                           ov_opts=ov_opts,
+                                           opts=ov_opts,
+                                           torch_device=torch_device,
                                            save_ov_model=False)
 ```