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abstractive text summarization python code
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http://youtube.com/watch?v=3mEb8jblhmk
Download this code from https://codegive.com • In this tutorial, we will explore the concept of abstractive text summarization using Python. Abstractive summarization involves generating a concise and meaningful summary of a given text, capturing the essential information while potentially rephrasing the content in a more human-readable way. We will use the popular library, Hugging Face's Transformers, which provides pre-trained models for various natural language processing tasks. • Before we begin, make sure you have the following prerequisites installed: • Install the necessary libraries using the following commands: • We'll use the GPT-2 model from the Transformers library. GPT-2 is a powerful language model capable of generating coherent and contextually relevant text. • Let's define a function that takes a piece of text and generates an abstractive summary using GPT-2. • Let's test our function with a sample piece of text. • Feel free to modify the sample_text variable with your own text for summarization. • This is a basic example of abstractive text summarization using GPT-2. Depending on your specific use case and requirements, you may want to explore other pre-trained models and fine-tune them on domain-specific data for better performance. • ChatGPT
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