Skip to content

Latest commit

 

History

History
2 lines (2 loc) · 334 Bytes

File metadata and controls

2 lines (2 loc) · 334 Bytes

Text-Summarization-using-BART-Model

In this project, we explore text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model, a state-of-the-art sequence-to-sequence model developed by Facebook AI. We utilise the CNN-DailyMail dataset, which contains news articles paired with human-generated summaries.