Update metadata and paper link for LongCat-Flash-Omni (#1)

- Update metadata and paper link for LongCat-Flash-Omni (d2bb14fafa1949b28eab076d846bd177615bf1fc)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,7 +1,7 @@
 ---
+library_name: transformers
 license: mit
-library_name: LongCat-Flash-Omni
-pipeline_tag: text-generation
+pipeline_tag: any-to-any
 tags:
 - transformers
 ---
@@ -39,7 +39,7 @@ tags:
 </div>
 
 <p align="center">
-  <a href="https://github.com/meituan-longcat/LongCat-Flash-Omni/blob/main/tech_report.pdf"><b>Tech Report</b>&nbsp;📄</a>
+  <a href="https://huggingface.co/papers/2511.00279"><b>Tech Report</b>&nbsp;📄</a>
 </p>
 
 ## Model Introduction
@@ -77,7 +77,7 @@ Inspired by the concept of modality decoupling, we propose a Modality-Decoupled
 We provide a comprehensive overview of the training methodology and data strategies behind LongCat-Flash-Omni, and release the model to accelerate future research and innovation in omni-modal intelligence.
 
 
-For more detail, please refer to the comprehensive [***LongCat-Flash-Omni Technical Report***](https://github.com/meituan-longcat/LongCat-Flash-Omni/blob/main/tech_report.pdf).
+For more detail, please refer to the comprehensive [***LongCat-Flash-Omni Technical Report***](https://huggingface.co/papers/2511.00279).
 
 ## Evaluation Results
 
@@ -362,4 +362,4 @@ We kindly encourage citation of our work if you find it useful.
 Please contact us at <a href="mailto:[email protected]">[email protected]</a> or join our WeChat Group if you have any questions.
 
 #### WeChat Group
-<img src=https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Omni/main/figures/wechat_qrcode.jpeg width="200px">
+<img src=https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Omni/main/figures/wechat_qrcode.jpeg width="200px">