Improve model card with Hugging Face paper link

README.md

@@ -1,18 +1,20 @@
 ---
-license: apache-2.0
 language:
 - zh
 - en
-pipeline_tag: text-generation
 library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
 ---
+
 <div align="center">
 <img src="https://github.com/OpenBMB/MiniCPM/blob/main/assets/minicpm_logo.png?raw=true" width="500em" ></img> 
 </div>
 
 <p align="center">
 <a href="https://github.com/OpenBMB/MiniCPM/" target="_blank">GitHub Repo</a> |
-<a href="https://github.com/OpenBMB/MiniCPM/tree/main/report/MiniCPM_4_Technical_Report.pdf" target="_blank">Technical Report</a> 
+<a href="https://github.com/OpenBMB/MiniCPM/tree/main/report/MiniCPM_4_Technical_Report.pdf" target="_blank">Technical Report</a> |
+<a href="https://huggingface.co/papers/2506.07900" target="_blank">Hugging Face Paper</a>
 </p>
 <p align="center">
 👋 Join us on <a href="https://discord.gg/3cGQn9b3YM" target="_blank">Discord</a> and <a href="https://github.com/OpenBMB/MiniCPM/blob/main/assets/wechat.jpg" target="_blank">WeChat</a>
@@ -45,7 +47,7 @@ BitCPM4 are ternary quantized models derived from the MiniCPM series models thro
 ## Usage
 ### Inference with Transformers
 BitCPM4's parameters are stored in a fake-quantized format, which supports direct inference within the Huggingface framework.
-``` 
+```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 import torch
 
@@ -89,7 +91,7 @@ BitCPM4's performance is comparable with other full-precision models in same mod
 - This repository and MiniCPM models are released under the [Apache-2.0](https://github.com/OpenBMB/MiniCPM/blob/main/LICENSE) License. 
 
 ## Citation
-- Please cite our [paper](https://github.com/OpenBMB/MiniCPM/tree/main/report/MiniCPM_4_Technical_Report.pdf) if you find our work valuable.
+- Please cite our [paper](https://huggingface.co/papers/2506.07900) if you find our work valuable.
 
 ```bibtex
 @article{minicpm4,
@@ -97,4 +99,4 @@ BitCPM4's performance is comparable with other full-precision models in same mod
   author={MiniCPM Team},
   year={2025}
 }
-```
+```