Update README.md

README.md

@@ -47,6 +47,8 @@ tokenizer = AutoTokenizer.from_pretrained("nlpaueb/sec-bert-base")
 model = AutoModel.from_pretrained("nlpaueb/sec-bert-base")
 ```
 
+## Pre-process Text
+
 In order to use SEC-BERT-NUM, you have to pre-process texts replacing every numerical token with a corresponding shape pseudo token from a list of 214 predefined shape pseudo tokens. If the numerical token does not correspond to any shape pseudo token we replace it with the [NUM] pseudo-token.
 Below there is an example how you can pre-process a simple sentence. This approach is quite simple, feel free to modify it as you see fit.