Improve model card: Add metadata, update paper & add GitHub links

This Pull Request significantly enhances the model card for POINTS-Reader.

Key improvements include:
- **Metadata addition**: Added `license: apache-2.0`, `library_name: transformers`, and `pipeline_tag: image-text-to-text`. This ensures the model is easily discoverable on the Hugging Face Hub and correctly displays the "how to use" widget.
- **Paper Link Update**: The existing `arXiv` badge link has been fixed to point to the official Hugging Face paper page: https://huggingface.co/papers/2509.01215.
- **GitHub Link Inclusion**: A prominent GitHub badge linking to https://github.com/Tencent/POINTS-Reader has been added to improve code discoverability.
- **Introduction**: Briefly updated the introductory sentence to include a direct link to the paper.

These changes will make the model card more informative and user-friendly.

README.md

@@ -1,3 +1,9 @@
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: image-text-to-text
+---
+
 <p align="center">
     <img src="images/logo.png" width="700"/>
 <p>
@@ -8,17 +14,20 @@ POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Docume
 
 <p align="center">
   <a href="https://huggingface.co/tencent/POINTS-Reader">
-    <img src="https://img.shields.io/badge/HuggingFace%20Weights-black.svg?logo=HuggingFace" alt="HuggingFace">
+    <img src="https://img.shields.io/badge/%F0%9F%A4%97_HuggingFace-Model-ffbd45.svg" alt="HuggingFace">
+  </a>
+  <a href="https://github.com/Tencent/POINTS-Reader">
+    <img src="https://img.shields.io/badge/GitHub-Code-blue.svg?logo=github&" alt="GitHub Code">
   </a>
-  <a href="">
-    <img src="https://img.shields.io/badge/arXiv__-POINTS--Reader-d4333f?logo=arxiv&logoColor=white&colorA=cccccc&colorB=d4333f&style=flat" alt="arXiv">
+  <a href="https://huggingface.co/papers/2509.01215">
+    <img src="https://img.shields.io/badge/Paper-POINTS--Reader-d4333f?logo=arxiv&logoColor=white&colorA=cccccc&colorB=d4333f&style=flat" alt="Paper">
   </a>
-  <a href="">
+  <a href="https://komarev.com/ghpvc/?username=tencent&repo=POINTS-Reader&color=brightgreen&label=Views" alt="view">
     <img src="https://komarev.com/ghpvc/?username=tencent&repo=POINTS-Reader&color=brightgreen&label=Views" alt="view">
   </a>
 </p>
 
-We are delighted to announce that the WePOINTS family has welcomed a new member: POINTS-Reader, a vision-language model for end-to-end document conversion.
+We are delighted to announce that the WePOINTS family has welcomed a new member: POINTS-Reader, a vision-language model for end-to-end document conversion, as introduced in the paper [POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion](https://huggingface.co/papers/2509.01215).
 
 ## News
 
@@ -578,8 +587,10 @@ import torch
 # We recommend using the following prompt to better performance,
 # since it is used throughout the training process.
 prompt = (
-    'Please extract all the text from the image with the following requirements:\n'
-    '1. Return tables in HTML format.\n'
+    'Please extract all the text from the image with the following requirements:
+'
+    '1. Return tables in HTML format.
+'
     '2. Return all other text in Markdown format.'
 )
 image_path = '/path/to/your/local/image'
@@ -712,8 +723,10 @@ def call_wepoints(messages: List[dict],
     return response
 
 prompt = (
-    'Please extract all the text from the image with the following requirements:\n'
-    '1. Return tables in HTML format.\n'
+    'Please extract all the text from the image with the following requirements:
+'
+    '1. Return tables in HTML format.
+'
     '2. Return all other text in Markdown format.'
 )
 
@@ -772,4 +785,4 @@ If you use this model in your work, please cite the following paper:
   journal={arXiv preprint arXiv:2405.11850},
   year={2024}
 }
-```
+```