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update readme

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@@ -10,10 +10,9 @@ widget:
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  This a albert_chinese_base model from [Google's github](https://github.com/google-research/ALBERT)
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  converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_albert_original_tf_checkpoint_to_pytorch.py)
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- ## Update
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- Support AutoTokenizer
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- ## Attention (注意)
 
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  Since sentencepiece is not used in albert_chinese_base model
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  you have to call BertTokenizer instead of AlbertTokenizer !!!
@@ -24,7 +23,6 @@ we can eval it using an example on MaskedLM
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  我們可以跑MaskedLM預測來驗證這個做法是否正確
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  ## Justify (驗證有效性)
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- [colab trial](https://colab.research.google.com/drive/1Wjz48Uws6-VuSHv_-DcWLilv77-AaYgj)
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  ```python
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  from transformers import AutoTokenizer, AlbertForMaskedLM
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  import torch
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  This a albert_chinese_base model from [Google's github](https://github.com/google-research/ALBERT)
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  converted by huggingface's [script](https://github.com/huggingface/transformers/blob/master/src/transformers/convert_albert_original_tf_checkpoint_to_pytorch.py)
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+ ## Notice
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+ *Support AutoTokenizer*
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  Since sentencepiece is not used in albert_chinese_base model
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  you have to call BertTokenizer instead of AlbertTokenizer !!!
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  我們可以跑MaskedLM預測來驗證這個做法是否正確
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  ## Justify (驗證有效性)
 
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  ```python
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  from transformers import AutoTokenizer, AlbertForMaskedLM
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  import torch