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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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+
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+ # Machine Translation (ترجمه‌ی ماشینی)
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+
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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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+
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+ ```python
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+ from transformers import MT5ForConditionalGeneration, MT5Tokenizer
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+
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+ model_size = "large"
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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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+
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+
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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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+
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+
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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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+
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+
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+ For more details, visit this page: https://github.com/persiannlp/parsinlu/