added print

app.py

@@ -231,6 +231,8 @@ def predict_and_analyze(model_name, num_channels, dim, input_channel, image):
     
     model = cached_download(hf_hub_url(model_loading_name, filename="pytorch_model.bin"))
     
+    print(model)
+    
     # model = EfficientNetPreTrained(config)
     # config.register_for_auto_class()
     # model.register_for_auto_class("AutoModelForImageClassification")