BART Model
Learn how the BART model combines a bidirectional encoder with an autoregressive decoder to reconstruct corrupted text. Discover its architecture, applications for text generation and summary tasks, and how it differs from BERT.
We'll cover the following...
We'll cover the following...
Bidirectional Auto-Regressive Transformers (BART) is another interesting model introduced by Facebook AI. It is based on the transformer architecture. The BART model is essentially a denoising autoencoder. It is trained by reconstructing corrupted text.
Just like the BERT model, we can use the pre-trained BART model and fine-tune it for several downstream tasks. The BART model is best suited for text generation. It is also used for other tasks, such as language translation and comprehension. ...