Set of scripts for deploying Pegasus into Docker containers using overlay network
-
Updated
Apr 21, 2017 - Shell
Set of scripts for deploying Pegasus into Docker containers using overlay network
A group effort on getting the Precipitation Runoff Modeling Simulation to run on Pegasus.
Fine Tuning pegasus and flan-t5 pre-trained language model on dialogsum datasets for conversation summarization to to optimize context window in RAG-LLMs
Repository containing the project for the course on Business and Project Management at the University of Pisa (A.Y. 2022/2023) realized by Fabiano Pilia, Emanuele Tinghi and Matteo Dal Zotto.
Text Summarization
Comparison of extreme text summarization models on BCC news dataset
End to End Text summarizer
ELSA combines extractive and abstractive approaches to the automatic text summarization
Bachelor's thesis on removing hate from online comments using paraphrasing: algorithm DPhate
News Headline and Summary Generation through Abstractive Summarization: Project Repo for Adavanced Machine Learning (AML) course at Ashoka
Transforming lengthy textual content into concise and meaningful summaries is the essence of this project. Leveraging the power of the Pegasus model, our abstractive text summarization repository aims to distill complex information into succinct and coherent summaries. Pegasus, state-of-the-art pre-trained model, excel in generating human like text
This repository explores the use of advanced sequence-to-sequence networks and transformer models, such as BERT, BART, PEGASUS, and T5, for summarizing multi-text documents in the medical domain. It leverages extensive datasets like CORD-19 and a Biomedical Abstracts dataset from Hugging Face to fine-tune these models.
A financial dashboard built using Streamlit, fine-tuned Transformers models and Prophet. Includes auto summarisation, sentiment analysis, and trend forecasting of stock and crypto news.
The Text Summarizer project aims to distill the key points from lengthy articles, paragraphs, or conversations. Utilizing FastAPI, the project leverages Pegasus, a Google model, which operates on the Samsum dataset hosted on Hugging Face.
This repository contains the project of Natural Language Processing course at IIT Gandhinagar offered by Prof. Mayank Singh during Fall semester 2021-22. In this project an application to scrape stock related posts in real time and generate their summaries was developed.
Add a description, image, and links to the pegasus topic page so that developers can more easily learn about it.
To associate your repository with the pegasus topic, visit your repo's landing page and select "manage topics."