Add metadata, project page link and sample usage

README.md

@@ -1,9 +1,11 @@
 ---
-license: apache-2.0
-datasets:
-- violetcliff/SmartHome-Bench
 base_model:
 - Qwen/Qwen2.5-VL-7B-Instruct
+datasets:
+- violetcliff/SmartHome-Bench
+license: apache-2.0
+pipeline_tag: video-classification
+library_name: transformers
 ---
 
 # DeepIntuit
@@ -17,6 +19,7 @@ The model is introduced in:
 **From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification**
 📄 Paper: [https://arxiv.org/abs/2603.10300](https://arxiv.org/abs/2603.10300)
 💻 Code: [https://github.com/BWGZK-keke/DeepIntuit](https://github.com/BWGZK-keke/DeepIntuit)
+🏠 Project Page: [https://bwgzk-keke.github.io/DeepIntuit/](https://bwgzk-keke.github.io/DeepIntuit/)
 
 ---
 
@@ -44,6 +47,18 @@ DeepIntuit is designed for research on:
 * reasoning-enhanced multimodal learning
 * safety-sensitive video analysis
 
+## Sample Usage
+
+To run inference using the code provided in the [official repository](https://github.com/BWGZK-keke/DeepIntuit):
+
+```bash
+cd stage2_model
+python inference.py \
+  --model_path BWGZK/DeepIntuit \
+  --video_path path_to_video.mp4
+```
+
+---
 
 ## Citation
 
@@ -51,6 +66,7 @@ DeepIntuit is designed for research on:
 @article{zhang2026deepintuit,
   title={From Imitation to Intuition: Intrinsic Reasoning for Open-Instance Video Classification},
   author={Zhang, Ke and Zhao, Xiangchen and Tian, Yunjie and Zheng, Jiayu and Patel, Vishal M and Fu, Di},
+  journal={arXiv preprint arXiv:2603.10300},
   year={2026}
 }
-```
+```