How to Convert Almost Any PyTorch Model to ONNX and Serve It Using Flask

Learn how to convert a PyTorch BERT sentiment model to ONNX format and serve it using a Flask API in this 27-minute tutorial. Follow along as the process of converting the model, creating a new file, and setting up the API is demonstrated step-by-step. Discover the changes from previous videos, understand what components are no longer necessary, and explore the output of the conversion. Gain practical insights into deploying machine learning models for real-world applications using ONNX and Flask.

Introduction
Changes from previous videos
Converting model to ONNX
Creating a new file
What you dont need
Output
API