Add pipeline_tag and link to technical report

Hi! I'm Niels, part of the community science team at Hugging Face.

This PR improves the model card for MiMo-V2-Flash by:
1. Adding the `pipeline_tag: text-generation` to the metadata for better discoverability.
2. Updating the technical report link to point to its official page on the Hugging Face Hub.
3. Explicitly linking the GitHub repository in the header for easier access to the code.

The rest of the high-quality documentation and structure provided by the Xiaomi team has been preserved.

README.md

@@ -1,8 +1,9 @@
 ---
-license: mit
 base_model:
 - XiaomiMiMo/MiMo-V2-Flash-Base
 library_name: transformers
+license: mit
+pipeline_tag: text-generation
 ---
 
 <br/><br/>
@@ -20,10 +21,12 @@ library_name: transformers
   |
   <a href="https://huggingface.co/XiaomiMiMo/MiMo-V2-Flash" target="_blank">🤗 HuggingFace</a>
   &nbsp;|
-  <a href="https://github.com/XiaomiMiMo/MiMo-V2-Flash/blob/main/paper.pdf" target="_blank">📔 Technical Report </a>
+  <a href="https://huggingface.co/papers/2601.02780" target="_blank">📔 Technical Report </a>
   &nbsp;|
   <a href="https://mimo.xiaomi.com/blog/mimo-v2-flash" target="_blank">📰 Blog </a>
   &nbsp;|
+  <a href="https://github.com/XiaomiMiMo/MiMo-V2-Flash" target="_blank">💻 GitHub </a>
+  &nbsp;|
   <br/><br/>
   <strong>Play around!</strong> &nbsp;
   <a href="https://aistudio.xiaomimimo.com" target="_blank">🗨️ Xiaomi MiMo Studio </a>
@@ -36,6 +39,8 @@ library_name: transformers
 
 **MiMo-V2-Flash** is a Mixture-of-Experts (MoE) language model with **309B total parameters** and **15B active parameters**. Designed for high-speed reasoning and agentic workflows, it utilizes a novel hybrid attention architecture and Multi-Token Prediction (MTP) to achieve state-of-the-art performance while significantly reducing inference costs.
 
+The model was presented in the [MiMo-V2-Flash Technical Report](https://huggingface.co/papers/2601.02780).
+
 <p align="center">
   <img width="80%" src="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/MiMo-v2-flash-performance.jpg?raw=true">
 </p>
@@ -304,7 +309,7 @@ If you find our work helpful, please cite our technical report:
   title={MiMo-V2-Flash Technical Report},
   author={LLM-Core Xiaomi},
   year={2025},
-  url={https://github.com/XiaomiMiMo/MiMo-V2-Flash/paper.pdf}
+  url={https://huggingface.co/papers/2601.02780}
 }
 ```
 
@@ -317,4 +322,4 @@ Please contact us at [mimo@xiaomi.com](mailto:mimo@xiaomi.com), join our WeChat
   <img src="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/wechat_group/wechat2.jpg?raw=true" width="20%" />
   <img src="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/wechat_group/wechat3.jpg?raw=true" width="20%" />
   <img src="https://github.com/XiaomiMiMo/MiMo-V2-Flash/raw/main/figures/wechat_group/wechat4.jpg?raw=true" width="20%" />
-</p>
+</p>