Package existing model as container in Azure Machine Learning

package_model.py

from azureml.core import Workspace, Model
from azureml.core.model import InferenceConfig
from azureml.core.environment import Environment
from azureml.core.conda_dependencies import CondaDependencies

ws = Workspace.from_config()

env = Environment("inference-env")
env.docker.enabled = True
# Replace with your conda enviroment file
env.python.conda_dependencies = CondaDependencies("./conda.yml")

# Replace with your score.py
inference_config = InferenceConfig(entry_script="score.py", environment=env)

# Replace with your model
model = Model(ws, 'my-model')

package = Model.package(ws, [model], inference_config)
package.wait_for_creation(show_output=True)

print(f"Packaged model image: {package.location}")