Easy text summarization using Google AI's T5 model using HuggingFace transformers and PyTorch in Python.

Automatic text summarization allows us to shorten long pieces of text into easy-to-read, short snippets that still convey the most important and relevant information of the original text.

In this video, we’ll build a simple but incredibly powerful text summarizer using Google’s T5. We’ll be using the PyTorch and HuggingFace’s Transformers frameworks.

This is split into three parts:

1. Import and Initialization
2. Data and Tokenization
3. Summary Generation