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--- |
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library_name: transformers |
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pipeline_tag: translation |
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language: |
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- bn |
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--- |
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### How to use |
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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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sentence = 'ম্যাচ শেষে পুরস্কার বিতরণের মঞ্চে তামিমের মুখে মোস্তাফিজের প্রশংসা শোনা গেল' |
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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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``` |
