update processor kwargs

README.md

@@ -45,7 +45,7 @@ https://llava-vl.github.io/
 
 ## How to use the model
 
-First, make sure to have `transformers` installed from source or `transformers >= 4.45.0`. 
+First, make sure to have `transformers` installed from [branch](https://github.com/huggingface/transformers/pull/32673) or `transformers >= 4.45.0`. 
 The model supports multi-image and multi-prompt generation. Meaning that you can pass multiple images in your prompt. Make sure also to follow the correct prompt template by applyong chat template:
 
 ### Using `pipeline`:
@@ -117,7 +117,7 @@ prompt = processor.apply_chat_template(conversation, add_generation_prompt=True)
 
 image_file = "http://images.cocodataset.org/val2017/000000039769.jpg"
 raw_image = Image.open(requests.get(image_file, stream=True).raw)
-inputs = processor(prompt, raw_image, return_tensors='pt').to(0, torch.float16)
+inputs = processor(images=raw_image, text=prompt, return_tensors='pt').to(0, torch.float16)
 
 output = model.generate(**inputs, max_new_tokens=200, do_sample=False)
 print(processor.decode(output[0][2:], skip_special_tokens=True))