Fix wrong examples in llava usage. (#28020)

* Fix wrong examples in llava usage.

* Update modeling_llava.py

src/transformers/models/llava/modeling_llava.py

@@ -370,12 +370,12 @@ class LlavaForConditionalGeneration(LlavaPreTrainedModel):
         >>> url = "https://www.ilankelman.org/stopsigns/australia.jpg"
         >>> image = Image.open(requests.get(url, stream=True).raw)
 
-        >>> inputs = processor(text=text, images=image, return_tensors="pt")
+        >>> inputs = processor(text=prompt, images=image, return_tensors="pt")
 
         >>> # Generate
         >>> generate_ids = model.generate(**inputs, max_length=30)
-        >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-        "There seems to be a stop sign"
+        >>> processor.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+        "\nUSER: What's the content of the image?\nASSISTANT: The image features a stop sign on a street corner"
         ```"""
 
         output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions