Update README.md

README.md

@@ -61,7 +61,20 @@ Practitioners who can use the model to gauge emotional states based on textual d
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
+This model can be used directly for sentiment analysis tasks by leveraging the Hugging Face Transformers library. Users can input text data and receive sentiment classifications without the need for additional fine-tuning. 
+
+**Example Usage:**
+
+```python
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline
+sentiment_analysis = pipeline("sentiment-analysis", model="your_huggingface_username/bert-mini-sentiment-analysis")
+
+# Analyze sentiment
+result = sentiment_analysis("I feel great today!")
+print(result)  # Output: [{'label': 'happy', 'score': 0.99}]
+
 
 ### Downstream Use [optional]