mdzaheerjk/End-to-End-NLP-Text-Summarization-with-Hugging-Face-Transformers
Develop a complete text summarization system from scratch, focusing on summarizing complex dialogues using the SAMSum dataset. This project emphasizes professional NLP pipelines, fine-tuning state-of-the-art models like Google Pegasus, and implementing modular Python code for maintainability and scalability.
This tool helps data scientists and NLP engineers create systems that automatically condense lengthy conversations or dialogues into shorter summaries. You provide the detailed text of a conversation, and it produces a concise, distilled version, making it easier to grasp key points without reading everything. It's designed for those building sophisticated NLP applications.
Use this if you need to develop a custom, high-performance solution for summarizing complex dialogues, leveraging state-of-the-art AI models.
Not ideal if you're looking for a ready-to-use summarization application without needing to build or fine-tune models yourself.
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Last pushed
Feb 18, 2026
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