Overview: Customizing spaCy Models
Explore how to customize spaCy models by collecting and annotating your own data, updating existing pipeline components like the named entity recognizer, and training new statistical components from scratch. This lesson guides you through data preparation, annotation using tools like Prodigy, and the complete process of building custom NLP models for practical applications.
We'll cover the following...
We'll cover the following...
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 ...