Update pipeline tag to image-feature-extraction and add library name (#1)

- Update pipeline tag to image-feature-extraction and add library name (ea1e44eab70a79ae5b109c0a2bf13e673750feef)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,9 +1,11 @@
 ---
-license: apache-2.0
 datasets:
 - zenosai/MonkeyDocv2
-pipeline_tag: image-text-to-text
+license: apache-2.0
+library_name: transformers
+pipeline_tag: image-feature-extraction
 ---
+
 <div align="center" xmlns="http://www.w3.org/1999/html">
 <h2>
 <b>MonkeyOCRv2: A Visual-Text Foundation Model for Document AI</b>
@@ -13,7 +15,7 @@ pipeline_tag: image-text-to-text
 [![MonkeyOCRv2](https://img.shields.io/badge/MonkeyOCRv2-black.svg?logo=Huggingface)](https://huggingface.co/collections/zenosai/monkeyocrv2)
 [![MonkeyDocv2](https://img.shields.io/badge/MonkeyDoc_v2-blue.svg?logo=ModelScope)](https://modelscope.cn/datasets/zenosai/MonkeyDocv2)
 [![GitHub issues](https://img.shields.io/github/issues/Yuliang-Liu/MonkeyOCRv2?color=critical&label=Issues)](https://github.com/Yuliang-Liu/MonkeyOCRv2/issues?q=is%3Aopen+is%3Aissue)
-[![GitHub closed issues](https://img.shields.io/github/issues-closed/Yuliang-Liu/MonkeyOCRv2?color=success&label=Issues)](https://github.com/Yuliang-Liu/MonkeyOCRv2/issues?q=is%3Aissue+is%3Aclosed)
+[![GitHub closed images](https://img.shields.io/github/issues-closed/Yuliang-Liu/MonkeyOCRv2?color=success&label=Issues)](https://github.com/Yuliang-Liu/MonkeyOCRv2/issues?q=is%3Aissue+is%3Aclosed)
 [![Demo](https://img.shields.io/badge/Demo-white.svg)](http://vlrlabmonkey.xyz:8891/)
 
 <img src="https://raw.githubusercontent.com/Yuliang-Liu/MonkeyOCRv2/refs/heads/main/asserts/overview.png" width="600"/>
@@ -25,6 +27,7 @@ pipeline_tag: image-text-to-text
 ## Introduction
 MonkeyOCRv2 is a text-centric visual foundation model that unifies fine-grained text modeling, cross-task representation learning, and cross-lingual generalization in a single encoder. MonkeyOCRv2 generalizes effectively across a broad range of OCR and document intelligence tasks, including multilingual document parsing, document understanding, text recognition, formula recognition, document tampering detection, scene text detection, and overlapping text segmentation.
 
+More details can be found in the paper [MonkeyOCRv2: A Visual-Text Foundation Model for Document AI](https://arxiv.org/abs/2607.11562).
 
 ## Model Zoo
 
@@ -324,15 +327,15 @@ Our model supports robust document parsing in real-world scenarios across 17 lan
       <th style="text-align: center;" rowspan="2">Occlusion SceneText</th>
     </tr>
     <tr>
-      <th><strong>Avg</th>
+      <th><strong>Avg</strong></th>
       <th>Artistic</th>
       <th>Context less</th>
       <th>Curve</th>
       <th>General</th>
       <th>Multi Oriented</th>
-      <th>Multi Words </th>
+      <th>Multi Words</th>
       <th>Saliency</th>
-      <th><strong>Avg</th>
+      <th><strong>Avg</strong></th>
       <th>Scene</th>
       <th>Web</th>
       <th>Document</th>
@@ -998,9 +1001,9 @@ Our model supports robust document parsing in real-world scenarios across 17 lan
 <tr>
 <td><strong>MonkeyOCRv2-S-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-S-Parsing">🤗</a></strong></td><td>0.6B</td><td>0.03B</td><td>0.6B</td><td><u>82.5</u></td><td>87.9</td><td><u>80.7</u></td><td><u>83.2</u></td><td><u>87.3</u></td><td>83.6</td><td><strong>76.8</strong></td><td>73.6</td><td><u>85.4</u></td><td>87.2</td><td><u>85.5</u></td><td>87.4</td><td>81.9</td><td><u>81.7</u></td><td><strong>91.2</strong></td><td><u>87.1</u></td><td>69.9</td><td><strong>88.7</strong></td><td><u>78.0</u></td><td><u>79.8</u></td><td>84.4</td><td>74.7</td>
 </tr>
-<tr>
-<td><strong>MonkeyOCRv2-B-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-B-Parsing">🤗</a><strong></td><td>0.7B</td><td>0.1B</td><td>0.6B</td><td><strong>83.3</strong></td><td><u>88.1</u></td><td><strong>81.7</strong></td><td><strong>84.2</strong></td><td><strong>87.7</strong></td><td>84.5</td><td>75.2</td><td><strong>78.4</strong></td><td><strong>86.5</strong></td><td><u>88.6</u></td><td><strong>86.1</strong></td><td>87.9</td><td>83.2</td><td><strong>82.1</strong></td><td><u>90.7</u></td><td><strong>87.2</strong></td><td>71.9</td><td><u>87.6</u></td><td><strong>80.1</strong></td><td><strong>80.8</strong></td><td>83.6</td><td>75.3</td>
-</tr>
+    <tr>
+      <td><strong>MonkeyOCRv2-B-Parsing<a href="https://huggingface.co/zenosai/MonkeyOCRv2-B-Parsing">🤗</a><strong></td><td>0.7B</td><td>0.1B</td><td>0.6B</td><td><strong>83.3</strong></td><td><u>88.1</u></td><td><strong>81.7</strong></td><td><strong>84.2</strong></td><td><strong>87.7</strong></td><td>84.5</td><td>75.2</td><td><strong>78.4</strong></td><td><strong>86.5</strong></td><td><u>88.6</u></td><td><strong>86.1</strong></td><td>87.9</td><td>83.2</td><td><strong>82.1</strong></td><td><u>90.7</u></td><td><strong>87.2</strong></td><td>71.9</td><td><u>87.6</u></td><td><strong>80.1</strong></td><td><strong>80.8</strong></td><td>83.6</td><td>75.3</td>
+    </tr>
   </tbody>
 </table>
 
@@ -1189,4 +1192,4 @@ This multi-expert agreement strategy reduces model-specific annotation errors an
 - **Qwen3**: https://github.com/QwenLM/Qwen3
 
 ## Copyright
-We warmly welcome your feedback, suggestions, and contributions, which are essential to the continued development and improvement of our framework. Note: This model is intended for academic research and non-commercial use only. For any questions, please contact us at xbai@hust.edu.cn or ylliu@hust.edu.cn.
+We warmly welcome your feedback, suggestions, and contributions, which are essential to the continued development and improvement of our framework. Note: This model is intended for academic research and non-commercial use only. For any questions, please contact us at xbai@hust.edu.cn or ylliu@hust.edu.cn.