readme: ---
  language: "mn"
  tags:
  - bert
  - mongolian
  - cased
  ---
  
  # BERT-BASE-MONGOLIAN-CASED
  [Link to Official Mongolian-BERT repo](https://github.com/tugstugi/mongolian-bert)
  
  ## Model description
  This repository contains pre-trained Mongolian [BERT](https://arxiv.org/abs/1810.04805) models trained by [tugstugi](https://github.com/tugstugi), [enod](https://github.com/enod) and [sharavsambuu](https://github.com/sharavsambuu).
  Special thanks to [nabar](https://github.com/nabar) who provided 5x TPUs.
  
  This repository is based on the following open source projects: [google-research/bert](https://github.com/google-research/bert/),
  [huggingface/pytorch-pretrained-BERT](https://github.com/huggingface/pytorch-pretrained-BERT) and [yoheikikuta/bert-japanese](https://github.com/yoheikikuta/bert-japanese).
  
  #### How to use
  
  ```python
  from transformers import pipeline, AutoTokenizer, AutoModelForMaskedLM
  
  tokenizer = AutoTokenizer.from_pretrained('tugstugi/bert-base-mongolian-cased', use_fast=False)
  model = AutoModelForMaskedLM.from_pretrained('tugstugi/bert-base-mongolian-cased')
  
  ## declare task ##
  pipe = pipeline(task="fill-mask", model=model, tokenizer=tokenizer)
  
  ## example ##
  input_  = '[MASK] хот Монгол улсын нийслэл.'
  
  output_ = pipe(input_)
  for i in range(len(output_)):
      print(output_[i])
  
  ## output ##
  # {'sequence': 'Улаанбаатар хот Монгол улсын нийслэл.', 'score': 0.826970100402832, 'token': 281, 'token_str': 'Улаанбаатар'}
  # {'sequence': 'Нийслэл хот Монгол улсын нийслэл.', 'score': 0.06551621109247208, 'token': 4059, 'token_str': 'Нийслэл'}
  # {'sequence': 'Эрдэнэт хот Монгол улсын нийслэл.', 'score': 0.0264141745865345, 'token': 2229, 'token_str': 'Эрдэнэт'}
  # {'sequence': 'Дархан хот Монгол улсын нийслэл.', 'score': 0.017083868384361267, 'token': 1646, 'token_str': 'Дархан'}
  # {'sequence': 'УБ хот Монгол улсын нийслэл.', 'score': 0.010854342952370644, 'token': 7389, 'token_str': 'УБ'}
  ```
  
  
  ## Training data
  Mongolian Wikipedia and the 700 million word Mongolian news data set  [[Pretraining Procedure](https://github.com/tugstugi/mongolian-bert#pre-training)]
  
  ### BibTeX entry and citation info
  
  ```bibtex
  @misc{mongolian-bert,
    author = {Tuguldur, Erdene-Ochir and Gunchinish, Sharavsambuu and Bataa, Enkhbold},
    title = {BERT Pretrained Models on Mongolian Datasets},
    year = {2019},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/tugstugi/mongolian-bert/}}
  }
  ```
  