readme: ---
  language: 
    - tg
  widget:
  - text: "Пойтахти <mask> Душанбе"
  - text: "<mask> ба ин сайти шумо медароям."
  - text: "Номи ман Акрам <mask>"
  
  tags:
  - generated_from_trainer
  model_index:
  - name: TajBERTo
    results:
    - task:
        name: Masked Language Modeling
        type: fill-mask
  ---
  
  # TajBERTo: RoBERTa-like Language model trained on Tajik 
  ## First ever Tajik NLP model 🔥
  
  
  
  # Dataset:
  # This model was trained on filtered and merged version of Leipzig Corpora https://wortschatz.unileipzig.de/en/download/Tajik 
  
  ## Intended use 
  # You can use the raw model for masked text generation or fine-tune it to a downstream task. 
  
  
  ## Example pipeline
  ```python
  from transformers import pipeline
  fill_mask = pipeline(
      "fill-mask",
      model="muhtasham/TajBERTo",
      tokenizer="muhtasham/TajBERTo"
  )
  fill_mask("Пойтахти <mask> Душанбе")
  
  # This is the beginning of a beautiful <mask>.
  
  {'score': 0.1952248513698578,
    'sequence': 'Пойтахти шаҳри Душанбе',
    'token': 710,
    'token_str': ' шаҳри'},
   {'score': 0.029092855751514435,
    'sequence': 'Пойтахти дар Душанбе',
    'token': 310,
    'token_str': ' дар'},
   {'score': 0.020065447315573692,
    'sequence': 'Пойтахти Душанбе Душанбе',
    'token': 717,
    'token_str': ' Душанбе'},
   {'score': 0.016725927591323853,
    'sequence': 'Пойтахти Тоҷикистон Душанбе',
    'token': 424,
    'token_str': ' Тоҷикистон'},
   {'score': 0.011400512419641018,
    'sequence': 'Пойтахти аз Душанбе',
    'token': 335,
    'token_str': ' аз'}
    
  ```
  
  
   