Click4Ai

560.

Hard

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: None
Expected: Model serving started successfully
Test Case 2
Input: None
Expected: Model serving started successfully
+ 3 hidden test cases