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 (English -> Persian). 
  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-translation_en_fa"
  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("Praise be to Allah, the Cherisher and Sustainer of the worlds;")
  run_model("shrouds herself in white and walks penitentially disguised as brotherly love through factories and parliaments; offers help, but desires power;")
  run_model("He thanked all fellow bloggers and organizations that showed support.")
  run_model("Races are held between April and December at the Veliefendi Hippodrome near Bakerky, 15 km (9 miles) west of Istanbul.")
  run_model("I want to pursue PhD in Computer Science about social network,what is the open problem in social networks?")
  ```
  
  which should output:
  ```
  ['خدا را شکر که عامل خطرناک و محافظ دنیاست.']
  ['خود را سفید می کند و به شکل برادرانه ای در کارخانه ها و']
  ['او از تمامی همکاران و سازمان هایی که از او حمایت می کردند تشکر']
  ['برگزاری مسابقات بین آوریل تا دسامبر در هیپوگریم والی']
  ['من می خواهم تحصیل دکترای علوم کامپیوتری را در مورد شب']
  ```
  
  For more details, visit this page: https://github.com/persiannlp/parsinlu/ 
  