v0.34.0

See https://github.com/quic/ai-hub-models/releases/v0.34.0 for changelog.

README.md

@@ -23,6 +23,7 @@ More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/fomm).
 
 
+
 ### Model Details
 
 - **Model Type:** Model_use_case.video_generation
@@ -99,26 +100,7 @@ device. This script does the following:
 ```bash
 python -m qai_hub_models.models.fomm.export
 ```
-```
-Profiling Results
-------------------------------------------------------------
-FOMMDetector
-Device                          : cs_8_gen_2 (ANDROID 13)             
-Runtime                         : ONNX                                
-Estimated inference time (ms)   : 4.8                                 
-Estimated peak memory usage (MB): [0, 78]                             
-Total # Ops                     : 57                                  
-Compute Unit(s)                 : npu (57 ops) gpu (0 ops) cpu (0 ops)
-
-------------------------------------------------------------
-FOMMGenerator
-Device                          : cs_8_gen_2 (ANDROID 13)               
-Runtime                         : ONNX                                  
-Estimated inference time (ms)   : 26.7                                  
-Estimated peak memory usage (MB): [0, 101]                              
-Total # Ops                     : 151                                   
-Compute Unit(s)                 : npu (139 ops) gpu (0 ops) cpu (12 ops)
-```
+
 
 
 ## How does this work?