How to Train, Evaluate, and Deploy a Hugging Face Model

Building Natural Language Processing (NLP) solutions doesn't have to be hard. With Hugging Face, you can leverage a streamlined developer experience to train, evaluate, and deploy NLP models. In this article, I will walk through an end-to-end example of building a helpful product review classifier from a labeled dataset with an endpoint for inference on AWS.

Prerequisites

For this walk-through, we will be using Python3.7+, Git, and the following pip modules.

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