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@@ -51,5 +51,8 @@ for pred in nlp(f"বাংলা আমার {nlp.tokenizer.mask_token}"):
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  print(pred)
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  # {'sequence': 'বাংলা আমার অহংকার', 'score': 0.5679506063461304, 'token': 19009, 'token_str': 'অহংকার'}
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  ```
 
 
 
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  ## Author
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  [Kowsher](http://kowsher.org/)
 
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  print(pred)
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  # {'sequence': 'বাংলা আমার অহংকার', 'score': 0.5679506063461304, 'token': 19009, 'token_str': 'অহংকার'}
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  ```
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+
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+ Cite this work:
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+ Kowsher, Md., BERT Base Bangla: A Pretrained Transformer Based Bangla Bert Model (September 15, 2021). Research on Computational Language, Available at SSRN: https://ssrn.com/abstract=
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  ## Author
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  [Kowsher](http://kowsher.org/)