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README.md

@@ -133,14 +133,11 @@ from qai_hub_models.models.sam import SAMDecoder,SAMEncoder
 
 # Load the model
 get_sam_decoder()_model = SAMDecoder.from_pretrained()
-
 get_sam_encoder()_model = SAMEncoder.from_pretrained()
 
-
 # Device
 device = hub.Device("Samsung Galaxy S23")
 
-
 # Trace model
 get_sam_decoder()_input_shape = get_sam_decoder()_model.get_input_spec()
 get_sam_decoder()_sample_inputs = get_sam_decoder()_model.sample_inputs()
@@ -156,7 +153,6 @@ get_sam_decoder()_compile_job = hub.submit_compile_job(
 
 # Get target model to run on-device
 get_sam_decoder()_target_model = get_sam_decoder()_compile_job.get_target_model()
-
 # Trace model
 get_sam_encoder()_input_shape = get_sam_encoder()_model.get_input_spec()
 get_sam_encoder()_sample_inputs = get_sam_encoder()_model.sample_inputs()
@@ -183,12 +179,10 @@ After compiling models from step 1. Models can be profiled model on-device using
 provisioned in the cloud.  Once the job is submitted, you can navigate to a
 provided job URL to view a variety of on-device performance metrics.
 ```python
-
 get_sam_decoder()_profile_job = hub.submit_profile_job(
         model=get_sam_decoder()_target_model,
         device=device,
         )       
-
 get_sam_encoder()_profile_job = hub.submit_profile_job(
         model=get_sam_encoder()_target_model,
         device=device,