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update title and font color

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  license: cc-by-nc-sa-4.0
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- # <font color="IndianRed"> BertForSequenceClassification model (Classical Chinese) </font>
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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jVu2LrNwkLolItPALKGNjeT6iCfzF8Ic?usp=sharing/)
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- Our model LEPTON (Letter Prediction) is BertForSequenceClassification Classical Chinese model that is intended to predict whether a Classical Chinese sentence is <font color="IndianRed"> a letter title (书信标题) </font> or not. This model is first inherited from the BERT base Chinese model (MLM), and finetuned using a large corpus of Classical Chinese language (3GB textual dataset), then concatenated with the BertForSequenceClassification architecture to perform a binary classification task.
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  * <font color="Salmon"> Labels: 0 = non-letter, 1 = letter </font>
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  ## <font color="IndianRed"> Model description </font>
 
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  license: cc-by-nc-sa-4.0
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+ # <font color="cornflowerblue">LEPTON (Classical Chinese Letter Prediction): </font><font color="IndianRed"> BertForSequenceClassification model</font>
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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jVu2LrNwkLolItPALKGNjeT6iCfzF8Ic?usp=sharing/)
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+ Our model <font color="cornflowerblue">LEPTON (Classical Chinese Letter Prediction) </font> is BertForSequenceClassification Classical Chinese model that is intended to predict whether a Classical Chinese sentence is <font color="IndianRed"> a letter title (书信标题) </font> or not. This model is first inherited from the BERT base Chinese model (MLM), and finetuned using a large corpus of Classical Chinese language (3GB textual dataset), then concatenated with the BertForSequenceClassification architecture to perform a binary classification task.
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  * <font color="Salmon"> Labels: 0 = non-letter, 1 = letter </font>
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  ## <font color="IndianRed"> Model description </font>