Update README.md

README.md

@@ -27,7 +27,7 @@ We investigate domain adaptation of MLLMs through post-training, focusing on dat
 
 Starting with transformers >= 4.45.0 onward, you can run inference using conversational messages that may include an image you can query about.
 
-Make sure to update your transformers installation via pip install --upgrade transformers.
+Make sure to update your transformers installation via `pip install --upgrade transformers`.
 
 ```bash
 import requests
@@ -35,7 +35,7 @@ import torch
 from PIL import Image
 from transformers import MllamaForConditionalGeneration, AutoProcessor
 
-model_id = "AdaptLLM/medicine-Llama-3.2-11B-Vision-Instruct"
+model_id = "AdaptLLM/food-Llama-3.2-11B-Vision-Instruct"
 
 model = MllamaForConditionalGeneration.from_pretrained(
     model_id,
@@ -65,6 +65,8 @@ output = model.generate(**inputs, max_new_tokens=30)
 print(processor.decode(output[0]))
 ```
 
+Since our model architecture aligns with the base model, you can refer to the official repository of [Llama-3.2-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) for more advanced usage instructions.
+
 ## Citation
 If you find our work helpful, please cite us.