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README.md

@@ -138,14 +138,11 @@ from qai_hub_models.models.openai_clip import CLIPTextEncoder,CLIPImageEncoder
 
 # Load the model
 text_encoder_model = CLIPTextEncoder.from_pretrained()
-
 image_encoder_model = CLIPImageEncoder.from_pretrained()
 
-
 # Device
 device = hub.Device("Samsung Galaxy S23")
 
-
 # Trace model
 text_encoder_input_shape = text_encoder_model.get_input_spec()
 text_encoder_sample_inputs = text_encoder_model.sample_inputs()
@@ -161,7 +158,6 @@ text_encoder_compile_job = hub.submit_compile_job(
 
 # Get target model to run on-device
 text_encoder_target_model = text_encoder_compile_job.get_target_model()
-
 # Trace model
 image_encoder_input_shape = image_encoder_model.get_input_spec()
 image_encoder_sample_inputs = image_encoder_model.sample_inputs()
@@ -188,12 +184,10 @@ 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
-
 text_encoder_profile_job = hub.submit_profile_job(
         model=text_encoder_target_model,
         device=device,
         )       
-
 image_encoder_profile_job = hub.submit_profile_job(
         model=image_encoder_target_model,
         device=device,