Update README.md

README.md

@@ -25,7 +25,7 @@ An MT5Tokenizer based Amharic and English tokenizer trained using [Fineweb](http
 This tokenizer aims to have a tokenizer that can better represent Amharic while also doing the same for English. 
 To balance the dataset, I have used only 3 million document samples from the dataset. The vocabulary size of this tokenizer is the same as `google/mt5-small`.
 
-### Mt% Tokenizer Vs AmhT5 Tokenizer
+### MT5 Tokenizer Vs AmhT5 Tokenizer
 
 ```python
 from transformers import MT5TokenizerFast