Update README.md

README.md

@@ -48,11 +48,11 @@ It not only possesses strong expertise in TCM, but also supports TCM multimodal
 | **ShizhenGPT-32B-VL**   | 32B        | Text, Image Understanding     | [HF Link](https://huggingface.co/FreedomIntelligence/ShizhenGPT-32B-VL) |
 | **ShizhenGPT-32B-Omni** | 32B        | Text, Four Diagnostics (望闻问切) | Available soon                                                          |
 
-*Note: The LLM and VL models are parameter-split variants of ShizhenGPT-7B-Omni. Since their architectures align with Qwen2.5 and Qwen2.5-VL, they are easier to adapt to different environments. In contrast, ShizhenGPT-7B-Omni requires `transformers==0.51.0`.*
+*Note: The LLM and VL models are parameter-split variants of ShizhenGPT-7B-Omni. Since their architectures align with Qwen2.5 and Qwen2.5-VL, they are easier to adapt to different environments. In contrast, ShizhenGPT-7B-Omni requires `transformers==4.51.0`.*
 
 
 # <span>Usage</span>
-To use `ShizhenGPT-7B-Omni`, you need to use `transformers==0.51.0` and set `trust_remote_code` to True. You can run the following script:
+To use `ShizhenGPT-7B-Omni`, you need to use `transformers==4.51.0` and set `trust_remote_code` to True. You can run the following script:
 
 ```python
 from transformers import AutoModelForCausalLM, AutoProcessor