Saving and loading custom models
Understand how to serialize and deserialize custom spaCy models, particularly updating and loading NER components into pipelines. This lesson equips you with methods to save your trained models and reuse them across Python scripts, enhancing NLP project workflows.
We'll cover the following...
We'll cover the following...
In this course, we have already seen how to serialize the updated NER component as follows:
ner = nlp.get_pipe("ner")ner.to_disk("navi_ner")
Serialzing the updated NER
We serialize models so that we can upload them in other Python scripts whenever we ...