Offer straightforward guidance to reproduce the results of NLP papers.
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Updated
Mar 13, 2023 - Python
Offer straightforward guidance to reproduce the results of NLP papers.
This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.
This project implements a headline summarization pipeline using the T5 transformer model fine-tuned on the XSum dataset. It provides a user-friendly interface using Gradio to generate concise summaries for long headlines or paragraphs. The project showcases end-to-end machine learning capabilities, from preprocessing and fine-tuning to deployment
Transfer Learning for Text Summarization
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