Add pipeline tag and sample usage

README.md

@@ -2,14 +2,15 @@
 base_model:
 - Qwen/Qwen3.5-4B
 license: mit
+pipeline_tag: text-generation
 ---
 
 # Deliberation-Reflector-Qwen3.5-4B
 
 [🌐 Project Page](https://recursivemas.github.io) | [💻 Code](https://github.com/RecursiveMAS/RecursiveMAS) | [📄 Paper](https://arxiv.org/abs/2604.25917)
 
-We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion.
-RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Deliberation-Style setting, the Reflector Agent reviews and refines the reasoning process, while collaborating with the Tool-Caller Agent through RecursiveLink modules for iterative improvement.
+We introduce **RecursiveMAS**, a multi-agent framework that scales agent collaboration through latent-space recursion. 
+RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the **Deliberation-Style** setting, the **Reflector Agent** reviews and refines the reasoning process, while collaborating with the Tool-Caller Agent through RecursiveLink modules for iterative improvement.
 
 ## Model Details
 
@@ -21,7 +22,24 @@ RecursiveMAS treats a multi-agent system as a unified recursive computation, whe
 | Base Model | Qwen3.5-4B |
 
 ⚠️ **Note:** This checkpoint is a **role-specific agent** in [**RecursiveMAS**](https://arxiv.org/abs/2604.25917), rather than a standalone model intended for plain-text generation.  
-For detailed usage instructions, please refer to our [GitHub repository](https://github.com/RecursiveMAS/RecursiveMAS).
+
+## Sample Usage
+
+To use this model, you should load the entire multi-agent system using the official system loader as described in the [GitHub repository](https://github.com/RecursiveMAS/RecursiveMAS):
+
+```python
+from system_loader import load_mas_system
+
+# Load the full deliberation multi-agent system
+mas = load_mas_system(
+    style="deliberation",
+    device="cuda",
+    trust_remote_code=True,
+)
+
+# Access the individual reflector agent
+reflector = mas.agents["reflector"].model
+```
 
 ## Model Collections for RecursiveMAS