Update README.md

README.md

@@ -38,9 +38,18 @@ It achieves the following results on the evaluation set:
 - Accuracy: 0.9680
 - F1: 0.9680
 
-<!-- ## Model description
+## Model description
 
 More information needed
+Hi! I'd be happy to share some insights about the Amazon Sentiment Analysis model I developed. The model is based on GPT-2, a transformer-based language model, which I fine-tuned using Amazon user reviews from 2023. The purpose of fine-tuning GPT-2 was to adapt it specifically for understanding and generating text related to sentiment analysis in Amazon reviews.
+
+During the fine-tuning process, I trained the model to recognize different sentiments (positive, negative, neutral) by leveraging real user feedback. The fine-tuned GPT-2 model can now predict the sentiment of new reviews by generating relevant responses or categorizing them based on the emotions conveyed in the text.
+
+You can use my model by using API
+
+import transformers
+from transformers import pipeline
+sentiment_model = pipeline(model="ashok2216/gpt2-amazon-sentiment-classifier")
 
 ## Intended uses & limitations