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:
- Import and Initialization
- Data and Tokenization
- Summary Generation
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