Text Summarization with Google AI's T5 in Python
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

🤖 70% Discount on the NLP With Transformers in Python course:
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You can read the article version of this on Medium here:
https://betterprogramming.pub/how-to-summarize-text-with-googles-t5-4dd1ae6238b6

(And for those of you without Medium membership, here's a free link):
https://betterprogramming.pub/how-to-summarize-text-with-googles-t5-4dd1ae6238b6?sk=740d3009282cb2c4f7478a0c073dedb3

Thumbnail background by gustavo centurion on Unsplash
https://unsplash.com/photos/O6fs4ablxw8