Overview: Customizing spaCy Models

Now you will learn how to train, store, and use custom statistical pipeline components. First, we will discuss when exactly we should perform custom model training. Then, you will learn a fundamental step of model training—how to collect and label your own data.

You will also learn how to make the best use of Prodigy, the annotation tool. Next, you will learn how to update an existing statistical pipeline component with your own data. We will update the spaCy pipeline's named entity recognizer (NER) component with our own labeled data.