Update README.md (#3)

- Update README.md (9c6cd94fa26a8602a758cf40800cc9baf4bcfc62)


Co-authored-by: Ye Zhenjie <[email protected]>

README.md

@@ -9,7 +9,7 @@ library_name: transformers
 <p align="center">
     <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*4QxcQrBlTiAAAAAAQXAAAAgAemJ7AQ/original" width="100"/>
 <p>
-<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/inclusionAI">ModelScope</a></p>
+<p align="center">🤗 <a href="https://huggingface.co/inclusionAI">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/inclusionAI">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp🚀 <a href="https://zenmux.ai/inclusionai/ring-flash-2.0?utm_source=hf_inclusionAI">Experience Now</a></p>
 
 ## Introduction
 
@@ -71,6 +71,40 @@ During RL training, we compared directly combining RLVR and RLHF into joint trai
 
 ## Quickstart
 
+### 🚀 Try Online
+
+You can experience Ring-flash-2.0 online at: [ZenMux](https://zenmux.ai/inclusionai/ring-flash-2.0?utm_source=hf_inclusionAI)
+
+### 🔌 API Usage
+
+You can also use Ring-flash-2.0 through API calls:
+
+```python
+from openai import OpenAI
+
+# 1. Initialize the OpenAI client
+client = OpenAI(
+    # 2. Point the base URL to the ZenMux endpoint
+    base_url="https://zenmux.ai/api/v1",
+    # 3. Replace with the API Key from your ZenMux user console
+    api_key="<your ZENMUX_API_KEY>",
+)
+
+# 4. Make a request
+completion = client.chat.completions.create(
+    # 5. Specify the model to use in the format "provider/model-name"
+    model="inclusionai/ring-flash-2.0",
+    messages=[
+        {
+            "role": "user",
+            "content": "What is the meaning of life?"
+        }
+    ]
+)
+
+print(completion.choices[0].message.content)
+```
+
 ### 🤗 Hugging Face Transformers
 
 Here is a code snippet to show you how to use the chat model with `transformers`: