readme: ---
  language: 
  - ar
  - dz
  
  tags:
  - pytorch
  - bert
  - multilingual
  - ar
  - dz
  
  widget:
  - text: "Baraka ellaho fik khouya la3ziz rabi yahfdek"
  - text: "123 viva l'Agérie, tahya el djazair !"
  - text: "ye3ayi l film hedak ghir akhtik"
  - text: "Dzayer mech ghir el3assima sadi9i"
  - text: "سخانة بزاف ليوم.. الجمل يرعف"
  
  inference: true
  ---
  
  <img src="https://raw.githubusercontent.com/alger-ia/dziribert/main/dziribert_drawing.png" alt="drawing" width="25%" height="25%" align="right"/>
  
  
  # DziriBERT Sentiment
  
  
  DziriBERT is the first Transformer-based Language Model that has been pre-trained specifically for the Algerian Dialect. It handles Algerian text contents written using both Arabic and Latin characters. 
  This is a fine-tuned version that is ready to use for sentiment classification. 
  
  For more information, please visit our paper: https://arxiv.org/pdf/2109.12346.pdf.
  
  ## How to use
  
  ```python
  from transformers import BertTokenizer, BertForSequenceClassification
  
  tokenizer = BertTokenizer.from_pretrained("alger-ia/dziribert_sentiment")
  model = BertForSequenceClassification.from_pretrained("alger-ia/dziribert_sentiment")
  
  ```
  
  You can find a fine-tuning script in our Github repo: https://github.com/alger-ia/dziribert
  
  ### How to cite
  
  ```bibtex
  @article{dziribert,
    title={DziriBERT: a Pre-trained Language Model for the Algerian Dialect},
    author={Abdaoui, Amine and Berrimi, Mohamed and Oussalah, Mourad and Moussaoui, Abdelouahab},
    journal={arXiv preprint arXiv:2109.12346},
    year={2021}
  }
  ```
  
  ## Contact 
  
  Please contact amine.abdaoui.nlp@gmail.com for any question, feedback or request.