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πŸ‘¨β€πŸŽ“ This repo is a supplement to my video on Transformers and Text Summarization as part of my series AI does AI (https://youtu.be/p_6xgrykPMQ)

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AI does AI Episode 1: Text Summarization and Transformers

This repository is a supplement to my video on Transformers and Text Summarization as part of my series AI does AI (https://youtu.be/p_6xgrykPMQ)

πŸ‘ The focus of this particular video and project was to learn about various Machine Learning models that are well suited for sequential data and then implement them in the context of text summarization.

πŸ€– The models used in this project are XLNet, Google's T5, and OpenAI's GPT-2 all thanks to huggingface.co! Make sure to check them out!

πŸ“ For more videos and projects like these, follow me on GitHub and subscribe to AI does AI on YouTube!

Socials:
πŸ‘¨β€πŸ’» GitHub: https://github.com/ArhumIshtiaq
πŸ“Ί YouTube: https://www.youtube.com/channel/UCALnBYThNO4_b77zJDY4mpQ
πŸ“Έ Instagram: https://instagram.com/arhum.ishtiaq

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πŸ‘¨β€πŸŽ“ This repo is a supplement to my video on Transformers and Text Summarization as part of my series AI does AI (https://youtu.be/p_6xgrykPMQ)

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