Update README.md

README.md

@@ -42,6 +42,7 @@ converted to hinglish text.
 
 The model has a test loss of 0.6 and an f1 score of 0.74 on the unseen data from the dataset.
 
+## Model Inference using pipeline
 ```
 # Use a pipeline as a high-level helper
 from transformers import pipeline
@@ -49,10 +50,9 @@ from transformers import pipeline
 pipe = pipeline("text-classification", model="pascalrai/hinglish-twitter-roberta-base-sentiment")
 pipe("tu mujhe pasandh heh")
 ```
-
+## Model Inference
 ```
 # Load model directly
-# Load model directly
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch