Update README.md

README.md

@@ -179,7 +179,7 @@ model = AutoModelForCausalLM.from_pretrained(
     device_map="auto",
 )
 
-prompt = "Who would in in a fight - a dinosaur or a cow named MooMoo?"
+prompt = "Who would win in a fight - a dinosaur or a cow named MooMoo?"
 inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
 
 outputs = model.generate(
@@ -205,7 +205,7 @@ sampling_params = SamplingParams(
     max_tokens=32768,
 )
 
-prompt = "Who would in in a fight - a dinosaur or a cow named MooMoo?"
+prompt = "Who would win in a fight - a dinosaur or a cow named MooMoo?"
 outputs = llm.generate(prompt, sampling_params)
 print(outputs[0].outputs[0].text)
 ```