MLflow TorchServe Deployment Plugin (Experimental) v0.1.0

This is the first release of MLflow TorchServe plugin (experimental). It is a new deployment plugin for MLflow that enables deploying PyTorch models built and trained in mlflow pipeline into TorchServe for running predictions.

Highlights

• Integrates TorchServe with MLflow Deployment plugin API
• Supports both command line (CLI) and python interfaces for managing deployments and running predictions
• Works with local or remote installation of TorchServe
• One can deploy both local models and models stored in the MLflow Model Registry