Update README.md

README.md

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 Welcome to the official model hub for **ViTAMIn-O**. This organization serves as an open-science database for customized, vision-based deep learning models specifically trained for organoid cross-sectional classification, longitudinal prediction, downstream model evaluation, and concept discovery.
 
-ColabViTAMIn-O [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1cpPTiMLglTXw759Z59Fd3HQCoE7qnvL5?usp=sharing)
+ColabViTAMIn-O [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1nDXBvSziGndkVcpUH9jxRbZpwX-2MMDU?usp=sharing)
 
 ## About ColabViTAMIn-O
 ViTAMIn-O is a code-free, Colab-based infrastructure designed to encourage wet-lab scientists to use deep learning in their workflows. Without prior coding experience, researchers can seamlessly upload imaging datasets, fine-tune state-of-the-art vision foundation models, and discover morphologically-grounded concepts using the OrgACE pipeline.
@@ -23,7 +23,7 @@ This hub hosts models trained by the community. You can explore the models via o
 We encourage motivated researchers to share their specialized models.
 A quick guide:
 
-1. Open the [ViTAMIn-O Colab Dashboard](https://colab.research.google.com/drive/1cpPTiMLglTXw759Z59Fd3HQCoE7qnvL5?usp=sharing).
+1. Open the [ViTAMIn-O Colab Dashboard](https://colab.research.google.com/drive/1nDXBvSziGndkVcpUH9jxRbZpwX-2MMDU?usp=sharing).
 2. Train your custom model using your dataset.
 3. Check the "Upload to Hugging Face" box under 2. Task Settings.
 4. Input your personal HF token and the target Repo name.