Update README.md

README.md

@@ -59,7 +59,7 @@ model_name = "HasinduNimesh/qwen3b-finetuned"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
 
-input_text = "What is the impact of DeepSeek R1 on AI research?"
+input_text = "Why is it necessary to filter out chain-of-thought outputs with mixed languages, long paragraphs, and code blocks?"
 inputs = tokenizer(input_text, return_tensors="pt").to(model.device)
 output = model.generate(**inputs, max_length=256)
 print(tokenizer.decode(output[0], skip_special_tokens=True))