Update README.md

README.md

@@ -53,7 +53,33 @@ as of April 8, 2025.
 
 ## Intended uses & limitations
 
-More information needed
+This model is designed for abstractive dialogue summarization. It can take in multi-turn conversations and generate concise summaries.
+
+## How to Use
+
+```Python
+from transformers import pipeline
+
+# Load summarization pipeline
+model_name = "avanishd/pegasus-finetuned-samsum/"
+summarizer = pipeline("summarization", model=model_name, tokenizer=model_name)
+
+# Sample conversation
+dialogue = """
+John: Hey, are you free tomorrow?
+Alice: I think so, why?
+John: Want to catch a movie or grab lunch?
+Alice: Sure, lunch sounds good. What time?
+John: Let's say 1 PM at the new place downtown?
+Alice: Works for me!
+"""
+
+# Generate summary
+summary = summarizer(dialogue, max_length=60, min_length=15, do_sample=False)[0]['summary_text']
+
+print("Summary:", summary)
+
+```
 
 ## Training and evaluation data