readme: ---
  language: fa
  license: apache-2.0
  ---
  
  # ParsBERT (v3.0)
  A Transformer-based Model for Persian Language Understanding
  
  The new version of BERT v3.0 for Persian is available today and can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary.
  
  
  ## Introduction
  
  ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).
   
  Paper presenting ParsBERT: [arXiv:2005.12515](https://arxiv.org/abs/2005.12515)
  
  ### BibTeX entry and citation info
  
  Please cite in publications as the following:
  
  ```bibtex
  @article{ParsBERT,
      title={ParsBERT: Transformer-based Model for Persian Language Understanding},
      author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
      journal={ArXiv},
      year={2020},
      volume={abs/2005.12515}
  }
  ```
  
  ## Questions?
  Post a Github issue on the [ParsBERT Issues](https://github.com/hooshvare/parsbert/issues) repo.