Abstractive_Text_Summarization_Transformer_Model

UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!

https://ml-nexus.vercel.app/

MIT License

69 stars 122 forks source link

Abstractive_Text_Summarization_Transformer_Model #254

Closed deepanshubaghel closed 1 month ago

deepanshubaghel commented 1 month ago

This project implements a text summarization tool using the T5 (Text-To-Text Transfer Transformer) model from Hugging Face's transformers library. The T5 model is pre-trained for various NLP tasks and is used here to generate concise summaries of input text. The project leverages PyTorch for model handling and performs tokenization of input text followed by summarization. The implementation demonstrates the ability of the model to condense long passages into meaningful summaries while preserving the core information.

github-actions[bot] commented 1 month ago

Thanks for creating the issue in ML-Nexus!🎉 Before you start working on your PR, please make sure to:

⭐ Star the repository if you haven't already.
Pull the latest changes to avoid any merge conflicts.
Attach before & after screenshots in your PR for clarity.
- Include the issue number in your PR description for better tracking. Don't forget to follow @UppuluriKalyani – Project Admin – for more updates! Tag @Neilblaze,@SaiNivedh26 for assigning the issue to you. Happy open-source contributing!☺️

github-actions[bot] commented 1 month ago

Hello @deepanshubaghel! Your issue #254 has been closed. Thank you for your contribution!