Update README.md

README.md

@@ -37,6 +37,8 @@ Thanks to its lightweight design, it can be deployed on edge devices
 
 *   Vision Encoder: google/siglip-so400m-patch14-384
 
+*   Notebook demo: [Ivy-VL-demo.ipynb](https://colab.research.google.com/drive/1D5_8sDRcP1HKlWtlqTH7s64xG8OH9NH0?usp=sharing)
+
 # Evaluation：
 
 ![evaluation.jpg](evaluation.jpg)
@@ -45,6 +47,7 @@ Most of the performance data comes from the VLMEvalKit leaderboard or
 
 # How to use:
 
+
 ```python
 # pip install git+https://github.com/LLaVA-VL/LLaVA-NeXT.git
 from llava.model.builder import load_pretrained_model