Endpoint stuck in 'transitioning' state

Question

I'm trying to use Azure ML to host an image classification model trained in lobe.ai (externally trained model).

I've used the 'no code' model deployment approach described here

I've been able to authenticate my workspace and register my TensorFlow model, but the endpoint is stuck on transitioning for over 2 hours.

Any ideas?

from azureml.core import Model  
  
model = Model.register(workspace=ws,  
                       model_name='cxr',                            # Name of the registered model in your workspace.  
                       model_path='cxr_test',                       # Local Tensorflow SavedModel folder to upload and register as a model.  
                       model_framework=Model.Framework.TENSORFLOW,  # Framework used to create the model.  
                       model_framework_version='1.15.3',            # Version of Tensorflow used to create the model.  
                       description='Pneumonia-prediction model')  
  
service_name = 'tensorflow-cxr-service'  
service = Model.deploy(ws, service_name, [model])  

Answer 1

We have created a support ticket for this issue and we will update the solution later. Thanks.

Regards,
Yutong