Update README.md

README.md

@@ -20,7 +20,7 @@ questions = tokenizer.batch_decode(questions, skip_special_tokens=True)
 
 **Decoder configuration examples:**  
 
-[Input text you can see here](https://www.bbc.com/news/science-environment-59775105)  
+[**Input text you can see here**](https://www.bbc.com/news/science-environment-59775105)  
 ```
 questions = model.generate(input_ids=input_ids, 
                          attention_mask=input_mask, 
@@ -68,4 +68,4 @@ Also you can play with the following parameters in generate method:
 -top_k  
 -top_p  
 
-[Meaning of parameters to generate text you can see here](https://huggingface.co/blog/how-to-generate)
+[**Meaning of parameters to generate text you can see here**](https://huggingface.co/blog/how-to-generate)