Add library_name and pipeline_tag to metadata

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

I noticed that your model card for PersonaVLM is missing a few metadata fields that would help users find and use your model more effectively. This PR adds `library_name: transformers` and `pipeline_tag: image-text-to-text` to the YAML header.

Adding these will:
- Enable the "Use in Transformers" button on the model page.
- Ensure the model appears in the correct categories when users filter by task on the Hub.

I've also preserved the existing links to the paper, project page, and code. Thanks for sharing this interesting work on long-term personalized MLLMs!

README.md

@@ -1,6 +1,11 @@
 ---
-license: apache-2.0
 base_model: Qwen/Qwen2.5-VL-7B-Instruct
+datasets:
+- ClareNie/Persona-MME
+- ClareNie/PersonaVLM-Dataset
+license: apache-2.0
+library_name: transformers
+pipeline_tag: image-text-to-text
 tags:
 - multimodal
 - personalized-mllm
@@ -9,9 +14,6 @@ tags:
 - cvpr2026
 - personality-evolving
 - benchmark
-datasets:
-- ClareNie/Persona-MME
-- ClareNie/PersonaVLM-Dataset
 ---
 
 # PersonaVLM: Long-Term Personalized Multimodal LLMs (CVPR 2026)
@@ -45,6 +47,17 @@ This project consists of several components. You can access the model weights, t
 | 📊 **Benchmark** | [HF: Persona-MME (2,000+ cases)](https://huggingface.co/datasets/ClareNie/Persona-MME) |
 | 📂 **Training Data** | [HF: PersonaVLM-Dataset (80k+ samples)](https://huggingface.co/datasets/ClareNie/PersonaVLM-Dataset) |
 
+## 🚀 Quick Start
+Since PersonaVLM is built upon Qwen2.5-VL, it is strictly required to install `transformers==4.51.3` to prevent compatibility issues.
+
+To run inference via CLI:
+```bash
+python inference.py 
+# Optional arguments:
+# --force-retrieve   : Force the agent to execute memory retrieval for every message.
+# --reasoning-mode   : Flag to toggle reasoning (default is True; passing this sets it to False).
+```
+
 ## ✒️ Citation
 If you find our work helpful, please cite our paper:
 
@@ -55,4 +68,5 @@ If you find our work helpful, please cite our paper:
   booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
   year={2026},
   url={http://arxiv.org/abs/2604.13074}
-}
+}
+```