Improve model card: add library_name, pipeline_tag and update paper link (#1)

- Improve model card: add library_name, pipeline_tag and update paper link (c37bee83d3b5823d8c8eed152ea7481acfdb6bb3)


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

README.md

@@ -1,7 +1,4 @@
 ---
-license: apache-2.0
-tags:
-- text-to-speech
 language:
 - zh
 - en
@@ -23,7 +20,13 @@ language:
 - hu
 - el
 - tr
+license: apache-2.0
+library_name: transformers
+pipeline_tag: text-to-speech
+tags:
+- text-to-speech
 ---
+
 # MOSS-TTS Family
 
 <br>
@@ -39,7 +42,7 @@ language:
   <a href="https://github.com/OpenMOSS/MOSS-TTS/tree/main"><img src="https://img.shields.io/badge/Project%20Page-GitHub-blue"></a>
   <a href="https://modelscope.cn/collections/OpenMOSS-Team/MOSS-TTS"><img src="https://img.shields.io/badge/ModelScope-Models-lightgrey?logo=modelscope&amp"></a>
   <a href="https://mosi.cn/#models"><img src="https://img.shields.io/badge/Blog-View-blue?logo=internet-explorer&amp"></a>
-  <a href="https://github.com/OpenMOSS/MOSS-TTS"><img src="https://img.shields.io/badge/Arxiv-Coming%20soon-red?logo=arxiv&amp"></a>
+  <a href="https://huggingface.co/papers/2602.10934"><img src="https://img.shields.io/badge/Arxiv-2602.10934-red?logo=arxiv&amp"></a>
 
   <a href="https://studio.mosi.cn"><img src="https://img.shields.io/badge/AIStudio-Try-green?logo=internet-explorer&amp"></a>
   <a href="https://studio.mosi.cn/docs/moss-tts"><img src="https://img.shields.io/badge/API-Docs-00A3FF?logo=fastapi&amp"></a>
@@ -50,6 +53,8 @@ language:
 ## Overview
 MOSS‑TTS Family is an open‑source **speech and sound generation model family** from [MOSI.AI](https://mosi.cn/#hero) and the [OpenMOSS team](https://www.open-moss.com/). It is designed for **high‑fidelity**, **high‑expressiveness**, and **complex real‑world scenarios**, covering stable long‑form speech, multi‑speaker dialogue, voice/character design, environmental sound effects, and real‑time streaming TTS.
 
+The model architecture and tokenizer are detailed in the paper [MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models](https://huggingface.co/papers/2602.10934).
+
 
 ## Introduction
 
@@ -386,4 +391,20 @@ For open-source models, annotators are asked to score each sample pair in terms
 For closed-source models, annotators are only asked to choose the overall preferred one in each pair, and we compute the win rate accordingly.
 <p align="center">
   <img src="https://speech-demo.oss-cn-shanghai.aliyuncs.com/moss_tts_demo/tts_readme_imgaes_demo/moss_ttsd_winrate" width="100%" />
-</p>
+</p>
+
+## Citation
+
+If you use this code or result in your paper, please cite our work as:
+
+```bibtex
+@misc{gong2026mossaudiotokenizerscalingaudiotokenizers,
+      title={MOSS-Audio-Tokenizer: Scaling Audio Tokenizers for Future Audio Foundation Models}, 
+      author={Yitian Gong and Kuangwei Chen and Zhaoye Fei and Xiaogui Yang and Ke Chen and Yang Wang and Kexin Huang and Mingshu Chen and Ruixiao Li and Qingyuan Cheng and Shimin Li and Xipeng Qiu},
+      year={2026},
+      eprint={2602.10934},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD},
+      url={https://arxiv.org/abs/2602.10934}, 
+}
+```