Update README.md

README.md

@@ -67,7 +67,7 @@ Sahrawat, Dhruva, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma,
 * Only works for English documents.
 * For a custom model, please consult the [training notebook]() for more information.
 
-### ❓ How to use
+### ❓ How To Use
 ```python
 from transformers import (
     TokenClassificationPipeline,
@@ -247,7 +247,7 @@ def extract_keyphrases(example, predictions, tokenizer, index=0):
 
 ```
 
-## 📝 Evaluation results
+## 📝 Evaluation Results
 
 Traditional evaluation methods are the precision, recall and F1-score @k,m where k is the number that stands for the first k predicted keyphrases and m for the average amount of predicted keyphrases.
 The model achieves the following results on the Inspec test set: