This repository contains the Bart-Large-paper2slides-expander Model, which has been pre-trained on cnn-daily-mail dataset and fine-tuned on the Automatic Slide Generation from Scientific Papers dataset using unsupervised learning techniques using an algorithm from the paper entitled ‘Unsupervised Machine Translation Using Monolingual Corpora Only’. Its primary focus is to expand the scientific text by providing alternative and expanded versions with improved clarity and accuracy. The model is parallelly trained with the Bart-Large-paper2slides-summarizer Model from the same contributor. — Model Architecture: Bart-Large — Fine-tuning Dataset: Automatic Slide Generation from Scientific Papers — Fine-tuning Method: Unsupervised Learning Bart (Bidirectional and Auto-Regressive Transformers) is a sequence-to-sequence (seq2seq) model developed by Facebook AI Research. It has shown exceptional performance in various natural language processing (NLP) tasks such as text summarization, text generation, and machine translation. This particular model, Bart-Large, is the larger version of the Bart model. It consists of 12 encoder and decoder layers and has a total of 400 million parameters. To…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: com3dian
Теги: bart, text2text-generation, en, endpoints_compatible
Лайков: 2 | Загрузок: 9
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
