Jims Chacko Portfolio

   Text Summarizer using Hugging Face Explore the repository here:   https://github.com/jimschacko/Advanced-Text-Summarizer Introduction Text summarization is a critical task in natural language processing, aiming to create concise and coherent summaries from lengthy documents or articles. With the advent of deep learning and pre-trained language models, building a text summarizer has become more accessible and efficient. In this article, we will explore the process of building a text summarizer using Hugging Face, a well-known platform for natural language processing. 1. Understanding Hugging Face Hugging Face is an open-source platform that provides a wide range of pre-trained models for natural language understanding and generation tasks. It offers various transformer-based models, such as BERT, GPT-3, and T5, that have revolutionized the field of NLP. Hugging Face allows developers to fine-tune these models on specific tasks, including text summarization. 2. Data Collection