Changed title errors

README.md

@@ -1,13 +1,13 @@
 ---
 license: mit
 ---
-##**BertForSequenceClassification model (Classical Chinese)**
+**BertForSequenceClassification model (Classical Chinese)**
 
 This BertForSequenceClassification Classical Chinese model is intended to predict whether a Classical Chinese sentence is a letter title (书信标题) 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.
 
 **Labels: 0 = non-letter, 1 = letter**
 
-##**Model description**
+**Model description**
 
 The BertForSequenceClassification model architecture inherits the BERT base model and concatenates a fully-connected linear layer to perform a binary-class classification task.
 
@@ -15,9 +15,9 @@ The BertForSequenceClassification model architecture inherits the BERT base mode
 
 **Sequence classification:** the model concatenates a fully-connected linear layer to output the probability of each class. In our binary classification task, the final linear layer has two classes.
 
-##**Intended uses & limitations**
+**Intended uses & limitations**
 Note that this model is primiarly aimed at predicting whether a Classical Chinese sentence is a letter title (书信标题) or not.
 
-##**How to use**
+**How to use**
 You can use this model directly with a pipeline for masked language modeling: