Update README.md

README.md

@@ -49,8 +49,8 @@ We stopped the training before the end and kept the *checkpoint-100* for the sec
 This step consisted into the instruction fine-tuning of the previous checkpoint. For that purpose, we used a modified version of [openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco).
 The template for the instruction fine-tuning was `Question: {question}\n\nAnswer: {answer}`. We used exactly the same parameters we used during the pretraining and we kept the *checkpoint-50*.
 
-## Usage
-The usage is straightforward an very similar to any other instruction fine-tuned model
+# Usage
+The usage is straightforward and very similar to any other instruction fine-tuned model.
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer