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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # bengali-bn-to-en
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-bn-en](https://huggingface.co/Helsinki-NLP/opus-mt-bn-en) on the kde4 dataset.
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ ### How to use
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+
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+ You can use this model directly with a pipeline:
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+ '''python
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+ from transformers import AutoTokenizer, pipeline
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+ tokenizer = AutoTokenizer.from_pretrained("shihab17/bengali-bn-to-en")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("shihab17/bengali-bn-to-en")
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+
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+ sentence = 'ম্যাচ শেষে পুরস্কার বিতরণের মঞ্চে তামিমের মুখে মোস্তাফিজের প্রশংসা শোনা গেল'
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+
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+ translator = pipeline("translation_bn_to_en", model=model, tokenizer=tokenizer)
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+ output = translator(sentence)
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+ print(output)
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+ '''
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+
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+
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  # bengali-bn-to-en
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-bn-en](https://huggingface.co/Helsinki-NLP/opus-mt-bn-en) on the kde4 dataset.