Add pipeline tag, library name and sample usage

Hi! I'm Niels from the Hugging Face community science team. I'm opening this PR to improve the model card for OpenResearcher.

I've added the `text-generation` pipeline tag to the metadata to make the model more discoverable on the Hub. I've also added `library_name: llama.cpp` as this repository contains GGUF files. Additionally, I've included a "Sample Usage" section with a code snippet derived from the official GitHub repository to help users get started with the agentic research pipeline.

README.md

@@ -1,10 +1,13 @@
 ---
-license: mit
-datasets:
-- OpenResearcher/OpenResearcher-Dataset
 base_model:
 - nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
+datasets:
+- OpenResearcher/OpenResearcher-Dataset
+license: mit
+pipeline_tag: text-generation
+library_name: llama.cpp
 ---
+
 <div style="display: flex; align-items: center; justify-content: center; gap: 8px;">
   <img src="https://raw.githubusercontent.com/TIGER-AI-Lab/OpenResearcher/main/assets/imgs/or-logo1.png" style="height: 84px; width: auto;">
   <img src="https://raw.githubusercontent.com/TIGER-AI-Lab/OpenResearcher/refs/heads/main/assets/imgs/openresearcher-title.svg" style="height: 84px; width: auto;">
@@ -13,17 +16,12 @@ base_model:
 <div align="center">
   <a href="https://arxiv.org/abs/2603.20278"><img src="https://img.shields.io/badge/arXiv-B31B1B?style=for-the-badge&logo=arXiv&logoColor=white" alt="Blog"></a>
   <a href="https://huggingface.co/papers/2603.20278"><img src="https://img.shields.io/badge/Paper-FFD966?style=for-the-badge&logo=huggingface&logoColor=ffffff" alt="Model"></a>
-  <!-- <a href="https://huggingface.co/papers/2603.20278"><img src="https://img.shields.io/badge/arXiv-B31B1B?style=for-the-badge&logo=arXiv&logoColor=white" alt="Blog"></a> -->
-  <!-- <a href="https://x.com/DongfuJiang/status/2020946549422031040"><img src="https://img.shields.io/badge/Twitter-000000?style=for-the-badge&logo=X&logoColor=white" alt="Blog"></a> -->
-  <!-- <a href="https://boiled-honeycup-4c7.notion.site/OpenResearcher-A-Fully-Open-Pipeline-for-Long-Horizon-Deep-Research-Trajectory-Synthesis-2f7e290627b5800cb3a0cd7e8d6ec0ea?source=copy_link"><img src="https://img.shields.io/badge/Blog-4285F4?style=for-the-badge&logo=google-chrome&logoColor=white" alt="Blog"></a> -->
-    <a href="https://github.com/TIGER-AI-Lab/OpenResearcher"><img src="https://img.shields.io/badge/Github-181717?style=for-the-badge&logo=github&logoColor=white" alt="Blog"></a>
+  <a href="https://github.com/TIGER-AI-Lab/OpenResearcher"><img src="https://img.shields.io/badge/Github-181717?style=for-the-badge&logo=github&logoColor=white" alt="Blog"></a>
   <a href="https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Dataset"><img src="https://img.shields.io/badge/Dataset-FFB7B2?style=for-the-badge&logo=huggingface&logoColor=ffffff" alt="Dataset"></a>
   <a href="https://huggingface.co/OpenResearcher/Nemotron-3-Nano-30B-A3B"><img src="https://img.shields.io/badge/Model-FFD966?style=for-the-badge&logo=huggingface&logoColor=ffffff" alt="Model"></a>
   <a href="https://huggingface.co/spaces/OpenResearcher/OpenResearcher"><img src="https://img.shields.io/badge/Demo-F97316.svg?style=for-the-badge&logo=gradio&logoColor=white" alt="Demo"></a>
-  <!-- <a href="https://wandb.ai/dongfu/nano-v3-sft-search"><img src="https://img.shields.io/badge/WandB%20Logs-48B5A3?style=for-the-badge&logo=weightsandbiases&logoColor=white" alt="WandB Logs"></a> -->
   <a href="https://huggingface.co/datasets/OpenResearcher/OpenResearcher-Eval-Logs/tree/main"><img src="https://img.shields.io/badge/Eval%20Logs-755BB4?style=for-the-badge&logo=google-sheets&logoColor=white" alt="Eval Logs"></a> 
 </div>
-</div>
 
 <div align="center" style="padding: 10px 0 -4px; display: flex; align-items: center; justify-content: center; gap: 16px;">
   <div style="width: 60px; height: 2px; background: linear-gradient(90deg, transparent, #E24B4A);"></div>
@@ -46,7 +44,39 @@ base_model:
 </p>
 
 ## Overview 
-**OpenResearcher** is a fully open agentic large language model (30B-A3B) designed for **long-horizon deep research** scenarios. It achieves an impressive **54.8%** accuracy on [BrowseComp-Plus](https://huggingface.co/spaces/Tevatron/BrowseComp-Plus), surpassing performance of `GPT-4.1`, `Claude-Opus-4`, `Gemini-2.5-Pro`, `DeepSeek-R1` and `Tongyi-DeepResearch`. It also demonstrates **leading performance** across a range of deep research benchmarks, including BrowseComp, GAIA, WebWalkerQA, and xbench-DeepSearch. We **fully open-source** the training and evaluation recipe—including data, model, training methodology, and evaluation framework for everyone to progress deep research.
+**OpenResearcher** is a fully open agentic large language model (30B-A3B) designed for **long-horizon deep research** scenarios, presented in [OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis](https://huggingface.co/papers/2603.20278). It achieves an impressive **54.8%** accuracy on [BrowseComp-Plus](https://huggingface.co/spaces/Tevatron/BrowseComp-Plus), surpassing performance of `GPT-4.1`, `Claude-Opus-4`, `Gemini-2.5-Pro`, `DeepSeek-R1` and `Tongyi-DeepResearch`. 
+
+## Sample Usage
+
+The following example demonstrates how to run a research task using the OpenResearcher pipeline. Note that this requires deploying the model (e.g., via vLLM) and configuring the environment as described in the [official repository](https://github.com/TIGER-AI-Lab/OpenResearcher).
+
+```python
+import asyncio
+from deploy_agent import run_one, BrowserPool
+from utils.openai_generator import OpenAIAsyncGenerator
+
+async def main():
+    # Initialize generator and browser
+    generator = OpenAIAsyncGenerator(
+        base_url="http://localhost:8001/v1",
+        model_name="OpenResearcher/OpenResearcher-30B-A3B",
+        use_native_tools=True
+    )
+    browser_pool = BrowserPool(search_url=None, browser_backend="serper")
+
+    # Run deep research
+    await run_one(
+        question="What is the latest news about OpenAI?",
+        qid="quick_start",
+        generator=generator,
+        browser_pool=browser_pool,
+    )
+
+    browser_pool.cleanup("quick_start")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
 
 ## OpenResearcher-30B-A3B-GGUF
 **Note: For the best performance, we recommend using [OpenResearcher-30B-A3B](https://huggingface.co/OpenResearcher/OpenResearcher-30B-A3B).**
@@ -70,5 +100,4 @@ To support efficient deployment, we release several quantized versions of [OpenR
   journal={arXiv preprint arXiv:2603.20278},
   year={2026}
 }
-```
-
+```