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MLOps Academy · Lesson

Export to ONNX for Portability

Move a model across frameworks and runtimes.

The Portability Problem

You trained in PyTorch but want to serve in C++ or the browser. A framework-locked file makes that painful. ONNX fixes it. 🌍

What ONNX Is

ONNX is an open, shared format for models. It describes the math as a graph that many frameworks and runtimes can read.

All lessons in this course

  1. Serialize with Pickle and Joblib
  2. The MLflow Model Flavor
  3. Export to ONNX for Portability
  4. Define a Model Signature and Schema
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