Update README.md

README.md

@@ -1,8 +1,13 @@
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 license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
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+
 ### UI-Venus
-This repository contains the UI-Venus model from the report [UI-Venus: Building High-performance UI Agents with RFT](https://arxiv.org/abs/2508.10833). UI-Venus is a native UI agent based on the Qwen2.5-VL multimodal large language model, designed to perform precise GUI element grounding and effective navigation using only screenshots as input. It achieves state-of-the-art performance through Reinforcement Fine-Tuning (RFT) with high-quality training data. More inference details and usage guides are available in the GitHub repository. We will continue to update results on standard benchmarks including Screenspot-v2/Pro and AndroidWorld.
+This repository contains the UI-Venus model from the report [UI-Venus Technical Report: Building High-performance UI Agents with RFT](https://arxiv.org/abs/2508.10833).
+
+UI-Venus is a native UI agent based on the Qwen2.5-VL multimodal large language model, designed to perform precise GUI element grounding and effective navigation using only screenshots as input. It achieves state-of-the-art performance through Reinforcement Fine-Tuning (RFT) with high-quality training data. More inference details and usage guides are available in the GitHub repository. We will continue to update results on standard benchmarks including Screenspot-v2/Pro and AndroidWorld.
 
 
 
@@ -39,7 +44,7 @@ Key innovations include:
 
 
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-##  Installation
+## Installation
 
 First, install the required dependencies:
 
@@ -50,7 +55,7 @@ pip install transformers==4.49.0 qwen-vl-utils
   
 
 
-##  Quick Start
+## Quick Start
 
 Use the shell scripts to launch the evaluation. The evaluation setup follows the same protocol as **ScreenSpot**, including data format, annotation structure, and metric calculation.
 
@@ -150,7 +155,7 @@ def inference(instruction, image_path):
     return result_dict
 ```
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-###  Results on ScreenSpot-v2
+### Results on ScreenSpot-v2
 
 | **Model**                | **Mobile Text** | **Mobile Icon** | **Desktop Text** | **Desktop Icon** | **Web Text** | **Web Icon** | **Avg.** |
 |--------------------------|-----------------|-----------------|------------------|------------------|--------------|--------------|----------|