Language lovers! Get ready to unlock the magic of text summarization with FLAN-T5—a powerful language model ideal for creating concise summaries of lengthy text. In this light-hearted and friendly guide, I'll take you on a journey into the fascinating world of text summarization. We'll cover everything from loading FLAN-T5 to making prompt templates for zero-shot, one-shot, and few-shot inference. Don't worry if you're a newbie - by the end of this article, you'll be generating great snippets like a pro! So grab your favorite snack and let’s delve into the realm of creative text summaries.
Load the FLAN-T5 model and dataset:
Let's first load the FLAN-T5 model and the dataset we will use for text summarization. FLAN-T5 is a powerful language model developed by Google and designed to handle text generation tasks. We'll use it for a text summarization adventure!
The dataset we use is called the Hugging Faces dataset, which is a collection of conversations and their corresponding human-generated summaries. have