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How to use

You can use this model directly with a pipeline:

from transformers import AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("shihab17/bengali-bn-to-en")
model = AutoModelForSeq2SeqLM.from_pretrained("shihab17/bengali-bn-to-en")

sentence = 'ম্যাচ শেষে পুরস্কার বিতরণের মঞ্চে তামিমের মুখে মোস্তাফিজের প্রশংসা শোনা গেল'

translator = pipeline("translation_bn_to_en", model=model, tokenizer=tokenizer)
output = translator(sentence)
print(output)
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F32
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