Update README.md

README.md

@@ -14,4 +14,20 @@ widget:
       - label: POSITIVE
         score: 0.8
 ---
-Pre-trained sentiment analysis model for Nepali language.
+Pre-trained sentiment analysis model for Nepali language.
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="dakkulanthu/nepali-sentiment-analysis-short")
+
+# Example text data
+text_data = """
+बोलेरै कांग्रेसको मागको दोकान बन्द गर्छु भन्नेले विशेष पत्रकार सम्मेलन गरेर बोल्नुस जनताले बुझ्छन्। कांग्रेसले संसद बन्द गरिराखोस्। तपाईले बोल्न बाकी के के रैछ हेरौ।
+"""
+
+# Use the pipeline for sentiment analysis
+sentiment_result = pipe(text_data)
+
+sentiment_result
+