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:

from transformers import MT5ForConditionalGeneration, MT5Tokenizer

model_size = "large"
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 آفریننده و نگهدار جهان است.']
['خود را با کفن سفید می پوشد و به شکل برادرانه ای در']
['او از همه ی وبلاگ نویسان و سازمان هایی که از او حمایت کردند']
['مسابقات بین آوریل و دسامبر در فرودگاه والی عبدین نزدیک بی']
['من می خواهم پایان نامه دکتری را در رشته علوم کامپیوتر در']

For more details, visit this page: https://github.com/persiannlp/parsinlu/

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