Add pipeline tag, library name and sample usage

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}
 }
-```
-
+```