readme: ---
  tags:
  - summarization
  - bart
  
  language:
  - ar
  widget:
  - text: بيروت هي عاصمة <mask>.
  
  license: apache-2.0
  
  pipeline_tag: "fill-mask"
  ---
  
  AraBART is the first Arabic model in which the encoder and the decoder are pretrained end-to-end, based on BART. AraBART follows the architecture of BART-Base
  which has 6 encoder and 6 decoder layers and 768 hidden dimensions. In total AraBART has 139M parameters.
  
  AraBART achieves the best performance on multiple abstractive summarization datasets, outperforming strong baselines including a pretrained Arabic BERT-based models and multilingual mBART and mT5 models.
  
  
  