How to install and use Spacy models?

This recipe helps you install and use spacy models.

Recipe Objective: How to install and use Spacy models?

This recipe will show you how to install Spacy in Jupyter Notebook and use Spacy models. 

Spacy is an open-source software library that advances natural language processing, specifically designed for production use, and helps build applications that process and understand large volumes of text. Also, it can be used for information extraction.

Spacy Models are used for tagging, parsing, and entity recognition. Let us see how to download Spacy model and use them.

NLP Techniques to Learn for your Next NLP Project

Steps For ‘How To Install Spacy in Python’

The following steps will help you understand how to install Spacy in Python.

Step 1 - Install Spacy using pip command

!pip install spacy

Step 2 - Download the best matching version of a specific model for our Spacy installation

!python -m spacy download en_core_web_sm

Step 3 - Download best best-matching default model

!python -m spacy download en

Step 4 - Download the exact model version

!python -m spacy download en_core_web_sm-2.2.0

Step 5 - Import Spacy in Python and Load Model

import spacy load_model = spacy.load("en_core_web_sm") doc = load_model("Hi my name is mak") doc

FAQs

What is the pip install en_core_web_sm command used for?

The pip install en_core_web_sm command is used to install en_core_web_sm model in SpaCy. This model is a small, fast, and efficient model that is suitable for most NLP tasks.

 

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