Update README.md (#22)

- Update README.md (aad3b10348563cc47f2799967aa3b5886a236eb0)

README.md

@@ -38,7 +38,7 @@ base_model:
 | Youtu-LLM-2B-GGUF | Instruct model of Youtu-LLM-2B, in GGUF format | 🤗 [Model](https://huggingface.co/tencent/Youtu-LLM-2B-GGUF)|
 
 ## 📰 News
-- [2026.01.28] You can now directly use Youtu-LLM with [Transformers](https://github.com/huggingface/transformers/pull/43166).
+- [2026.01.28] You can now directly use Youtu-LLM with [Transformers>=5.1.0](https://github.com/huggingface/transformers/releases/tag/v5.1.0).
 - [2026.01.07] You can now fine-tune Youtu-LLM with [ModelScope](https://mp.weixin.qq.com/s/JJtQWSYEjnE7GnPkaJ7UNA).
 - [2026.01.04] You can now fine-tune Youtu-LLM with [LlamaFactory](https://github.com/hiyouga/LlamaFactory/pull/9707).
 
@@ -91,7 +91,7 @@ base_model:
 This guide will help you quickly deploy and invoke the **Youtu-LLM-2B** model. This model supports "Reasoning Mode", enabling it to generate higher-quality responses through Chain of Thought (CoT).
 
 <details>
-<summary>Transformers below 5.0.0.dev0</summary>
+<summary>Transformers >= 4.56.0, <= 4.57.1</summary>
 
 If you wish to use Youtu-LLM-2B based on earlier versions of transformers, please make sure to download the model repository before this [commit](https://huggingface.co/tencent/Youtu-LLM-2B/commit/5690998a0a4cae7a7ec970d09262745e00bb6c5c).
 
@@ -177,7 +177,7 @@ print(f"\n{'='*20} Final Answer {'='*20}\n{final_answer}")
 </details>
 
 <details>
-<summary>Transformers equals or higher than 5.0.0.dev0</summary>
+<summary>Transformers >= 5.1.0</summary>
 
 ### 1. Environment Preparation
 Ensure your Python environment has the `transformers` library installed and that the version meets the requirements.