Add pipeline tag, library name, and improve model card

Hi, I'm Niels from the Hugging Face community science team. I've improved the model card for this repository by:
- Adding `pipeline_tag: text-generation` to the metadata.
- Adding `library_name: transformers` to the metadata.
- Including a sample usage snippet based on the GitHub documentation to show how to load the multi-agent system.
- Ensuring the research paper is properly referenced.

Please review and merge this PR if it looks good.

README.md

@@ -2,26 +2,49 @@
 base_model:
 - deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 ---
 
 # Mixture-Math-DeepSeek-R1-Distill-Qwen-1.5B
 
 [🌐 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 Mixture-Style setting, the Math Specialist Agent focuses on mathematical reasoning tasks and collaborates with other domain-specialized agents through RecursiveLink modules for final response generation.
+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 Mixture-Style setting, this **Math Specialist Agent** focuses on mathematical reasoning tasks and collaborates with other domain-specialized agents through RecursiveLink modules for final response generation.
+
+The model was presented in the paper [Recursive Multi-Agent Systems](https://huggingface.co/papers/2604.25917).
 
 ## Model Details
 
 | Item | Description |
 |---|---|
-| Model | Mixture-Math-DeepSeek-R1-Distill-Qwen-1.5B |
-| Collaboration Style | Mixture-Style |
-| Agent Role | Math Specialist Agent |
-| Base Model | DeepSeek-R1-Distill-Qwen-1.5B |
+| **Model** | Mixture-Math-DeepSeek-R1-Distill-Qwen-1.5B |
+| **Collaboration Style** | Mixture-Style |
+| **Agent Role** | Math Specialist Agent |
+| **Base Model** | [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) |
+
+⚠️ **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. 
+
+## Usage
+
+To use this model as part of the RecursiveMAS system, you can load the entire multi-agent pipeline using the provided system loader from the [official repository](https://github.com/RecursiveMAS/RecursiveMAS):
+
+```python
+# Requires cloning the repository: git clone https://github.com/RecursiveMAS/RecursiveMAS.git
+from system_loader import load_mas_system
+
+mas = load_mas_system(
+    style="mixture",
+    device="cuda",
+    trust_remote_code=True,
+)
 
-⚠️ **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).
+# Access individual agents
+math_agent = mas.agents["math"].model
+```
 
 ## Model Collections for RecursiveMAS