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  - Bangla Base Bert
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  - Bangla Bert language model
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  - Bangla Bert
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- license: MIT
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  datasets:
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  - BanglaLM dataset
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  ---
@@ -16,10 +15,11 @@ Here we published a pretrained Bangla bert language model as **bert-base-bangla*
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  Here we described [bert-base-bangla](https://github.com/Kowsher/bert-base-bangla) which is a pretrained Bangla language model based on mask language modeling described in [BERT](https://arxiv.org/abs/1810.04805) and the GitHub [repository](https://github.com/google-research/bert)
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  ## Corpus Details
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  We trained the Bangla bert language model using BanglaLM dataset from kaggle [BanglaLM](https://www.kaggle.com/gakowsher/bangla-language-model-dataset). There is 3 version of dataset which is almost 40GB.
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- After downloading the dataset, we went on the way of mask LM, described here [BERT](https://arxiv.org/abs/1810.04805)
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- ```
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  **Bangla Base BERT Tokenizer**
 
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  ```py
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  from transformers import AutoTokenizer, AutoModel
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  bnbert_tokenizer = AutoTokenizer.from_pretrained("Kowsher/bert-base-test")
 
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  - Bangla Base Bert
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  - Bangla Bert language model
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  - Bangla Bert
 
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  datasets:
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  - BanglaLM dataset
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  ---
 
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  Here we described [bert-base-bangla](https://github.com/Kowsher/bert-base-bangla) which is a pretrained Bangla language model based on mask language modeling described in [BERT](https://arxiv.org/abs/1810.04805) and the GitHub [repository](https://github.com/google-research/bert)
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  ## Corpus Details
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  We trained the Bangla bert language model using BanglaLM dataset from kaggle [BanglaLM](https://www.kaggle.com/gakowsher/bangla-language-model-dataset). There is 3 version of dataset which is almost 40GB.
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+ After downloading the dataset, we went on the way to mask LM.
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+
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  **Bangla Base BERT Tokenizer**
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+
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  ```py
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  from transformers import AutoTokenizer, AutoModel
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  bnbert_tokenizer = AutoTokenizer.from_pretrained("Kowsher/bert-base-test")