readme: ---
  language:
  - fa
  - multilingual
  thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg
  tags:
  - machine-translation
  - mt5
  - persian
  - farsi
  license: cc-by-nc-sa-4.0
  datasets:
  - parsinlu
  metrics:
  - sacrebleu
  ---
  
  # Machine Translation (ترجمه‌ی ماشینی)
  
  This is an mT5-based model for machine translation (Persian -> English). 
  Here is an example of how you can run this model: 
  
  ```python 
  from transformers import MT5ForConditionalGeneration, MT5Tokenizer
  
  model_size = "base"
  model_name = f"persiannlp/mt5-{model_size}-parsinlu-opus-translation_fa_en"
  tokenizer = MT5Tokenizer.from_pretrained(model_name)
  model = MT5ForConditionalGeneration.from_pretrained(model_name)
  
  
  def run_model(input_string, **generator_args):
      input_ids = tokenizer.encode(input_string, return_tensors="pt")
      res = model.generate(input_ids, **generator_args)
      output = tokenizer.batch_decode(res, skip_special_tokens=True)
      print(output)
      return output
  
  
  run_model("ستایش خدای را که پروردگار جهانیان است.")
  run_model("در هاید پارک کرنر بر گلدانی ایستاده موعظه می‌کند؛")
  run_model("وی از تمامی بلاگرها، سازمان‌ها و افرادی که از وی پشتیبانی کرده‌اند، تشکر کرد.")
  run_model("مشابه سال ۲۰۰۱، تولید آمونیاک بی آب در ایالات متحده در سال ۲۰۰۰ تقریباً ۱۷،۴۰۰،۰۰۰ تن (معادل بدون آب) با مصرف ظاهری ۲۲،۰۰۰،۰۰۰ تن و حدود ۴۶۰۰۰۰۰ با واردات خالص مواجه شد. ")
  run_model("می خواهم دکترای علوم کامپیوتر راجع به شبکه های اجتماعی را دنبال کنم، چالش حل نشده در شبکه های اجتماعی چیست؟")
  ```
  
  which should give the following: 
  ```
  ['the admiration of God, which is the Lord of the world.']
  ['At the Ford Park, the Crawford Park stands on a vase;']
  ['He thanked all the bloggers, the organizations, and the people who supported him']
  ['similar to the year 2001, the economy of ammonia in the United States in the']
  ['I want to follow the computer experts on social networks, what is the unsolved problem in']
  ```
  
  which should give the following: 
  ```
  ['Adoration of God, the Lord of the world.']
  ['At the High End of the Park, Conrad stands on a vase preaching;']
  ['She thanked all the bloggers, organizations, and men who had supported her.']
  ['In 2000, the lack of water ammonia in the United States was almost']
  ['I want to follow the computer science doctorate on social networks. What is the unsolved challenge']
  ```
  
  Which should produce the following: 
  ```
  ['the praise of God, the Lord of the world.']
  ['At the Hyde Park Corner, Carpenter is preaching on a vase;']
  ['He thanked all the bloggers, organizations, and people who had supported him.']
  ['Similarly in 2001, the production of waterless ammonia in the United States was']
  ['I want to pursue my degree in Computer Science on social networks, what is the']
  ```
  
  
  For more details, visit this page: https://github.com/persiannlp/parsinlu/ 
  