Update README.md

README.md

@@ -36,7 +36,7 @@ quantized_model.half()  # Convert model to FP16
 tokenizer = BertTokenizer.from_pretrained("bert-base-uncased")
 
 # Define a test sentence
-test_sentence = "It's just fine, nothing extraordinary"
+test_sentence = "I switched from BrandX to this new model because BrandX's customer support has been terrible lately. Their software updates are always buggy, and it takes weeks to get help. Really disappointed after being a loyal customer for years."
 
 # Tokenize input
 inputs = tokenizer(test_sentence, return_tensors="pt", padding=True, truncation=True, max_length=128)