sentence generation

BART is a model for document summarization Derived from the same transformer as BERT Unlike BERT, it has an encoder-decoder structure This is because it is intended for sentence generation This page shows the steps to run a tutorial on BART. Procedure install transformers Run ``sh pip install transformers Run summary 2. Run the summary from transformers import BartTokenizer, BartForConditionalGeneration, BartConfig model = BartForConditionalGeneration.from_pretrained('facebook/bart-large') tokenizer = BartTokenizer.from_pretrained('facebook/bart-large') ARTICLE_TO_SUMMARIZE = "My friends are cool but they eat too many carbs. [Read More]

. We have successfully trained a model to automatically generate titles from news texts using a machine translation model based on deep learning. Preliminaries In the past, I was involved in a project to automatically generate titles from manuscripts for online news. In the past, I was involved in a project to automatically generate titles from manuscripts for online news. In order to tackle this project, I was looking into existing methods. [Read More]