This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

Transformers Workshop on behalf of ML India. Contains resource notebook for training/inferring large scale transformer models for different downstream task

Trained a SimpleT5 ML model to summarize a news article into a short headline using NLP. Uses SimpleT5 built on PyTorch-lightning and Transformers. Dataset and notebook originally from Kaggle.