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README.md

@@ -162,7 +162,6 @@ encoder_compile_job = hub.submit_compile_job(
 # Get target model to run on-device
 encoder_target_model = encoder_compile_job.get_target_model()
 
-
 # Trace model
 decoder_input_shape = decoder_model.get_input_spec()
 decoder_sample_inputs = decoder_model.sample_inputs()
@@ -179,7 +178,6 @@ decoder_compile_job = hub.submit_compile_job(
 # Get target model to run on-device
 decoder_target_model = decoder_compile_job.get_target_model()
 
-
 ```
 
 
@@ -214,14 +212,14 @@ encoder_inference_job = hub.submit_inference_job(
         device=device,
         inputs=encoder_input_data,
     )
-    encoder_inference_job.download_output_data()
+encoder_inference_job.download_output_data()
 decoder_input_data = decoder_model.sample_inputs()
 decoder_inference_job = hub.submit_inference_job(
         model=decoder_target_model,
         device=device,
         inputs=decoder_input_data,
     )
-    decoder_inference_job.download_output_data()
+decoder_inference_job.download_output_data()
 
 ```
 With the output of the model, you can compute like PSNR, relative errors or