Update README.md

README.md

@@ -18,13 +18,14 @@ of publicly available data) with an automatic process to generate inputs and lab
 it was trained to guess the next word in sentences.
 
 More precisely, inputs are sequences of continuous text of a certain length and the targets are the same sequence,
-shifted one token (word or piece of word) to the right. The model uses a mask mechanism to make sure the
-predictions for the token `i` only uses the inputs from `1` to `i` but not the future tokens.
+shifting one token (word or piece of word) to the right. The model uses a mask mechanism to make sure the
+predictions for the token `i` only use the inputs from `1` to `i` but not the future tokens.
 
 This way, the model learns an inner representation of the English language that can then be used to extract features
 useful for downstream tasks. The model is best at what it was trained for, however, which is generating texts from a
 prompt.
 
+### To use this model
 
 ```python
 >>> from transformers import AutoTokenizer, AutoModelForCausalLM