Model Serving with TorchServe
**Example:** Serve a pre-trained PyTorch model using TorchServe.
**Constraints:** Use a Python script to create a TorchServe container and deploy it to a local environment.
In this problem, you will use TorchServe to serve a pre-trained machine learning model. You will create a Python script that uses the TorchServe API to create a container and deploy it to a local environment.
**Note:** You will need to have TorchServe installed on your machine and a working Python environment.
Test Cases
Test Case 1
Input:
NoneExpected:
Model serving started successfullyTest Case 2
Input:
NoneExpected:
Model serving started successfully+ 3 hidden test cases