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--- |
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language: |
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- fa |
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- multilingual |
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thumbnail: https://upload.wikimedia.org/wikipedia/commons/a/a2/Farsi.svg |
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tags: |
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- machine-translation |
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- mt5 |
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- persian |
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- farsi |
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license: cc-by-nc-sa-4.0 |
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datasets: |
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- parsinlu |
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metrics: |
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- sacrebleu |
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--- |
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# Machine Translation (ترجمه‌ی ماشینی) |
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This is an mT5-based model for machine translation (English -> Persian). |
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Here is an example of how you can run this model: |
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```python |
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from transformers import MT5ForConditionalGeneration, MT5Tokenizer |
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model_size = "base" |
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model_name = f"persiannlp/mt5-{model_size}-parsinlu-translation_en_fa" |
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tokenizer = MT5Tokenizer.from_pretrained(model_name) |
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model = MT5ForConditionalGeneration.from_pretrained(model_name) |
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def run_model(input_string, **generator_args): |
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input_ids = tokenizer.encode(input_string, return_tensors="pt") |
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res = model.generate(input_ids, **generator_args) |
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output = tokenizer.batch_decode(res, skip_special_tokens=True) |
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print(output) |
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return output |
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run_model("Praise be to Allah, the Cherisher and Sustainer of the worlds;") |
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run_model("shrouds herself in white and walks penitentially disguised as brotherly love through factories and parliaments; offers help, but desires power;") |
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run_model("He thanked all fellow bloggers and organizations that showed support.") |
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run_model("Races are held between April and December at the Veliefendi Hippodrome near Bakerky, 15 km (9 miles) west of Istanbul.") |
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run_model("I want to pursue PhD in Computer Science about social network,what is the open problem in social networks?") |
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``` |
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which should output: |
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``` |
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['خدا را شکر که عامل خطرناک و محافظ دنیاست.'] |
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['خود را سفید می کند و به شکل برادرانه ای در کارخانه ها و'] |
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['او از تمامی همکاران و سازمان هایی که از او حمایت می کردند تشکر'] |
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['برگزاری مسابقات بین آوریل تا دسامبر در هیپوگریم والی'] |
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['من می خواهم تحصیل دکترای علوم کامپیوتری را در مورد شب'] |
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``` |
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For more details, visit this page: https://github.com/persiannlp/parsinlu/ |
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