Update notebooks doc w/ Kaggle and Colab usage. (#1772)

* Update notebooks doc w/ Kaggle and Colab usage.

* Apply suggestions from code review

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

---------

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

Author: Vaibhavs10

docs/hub/notebooks.md

@@ -2,6 +2,26 @@
 
 [Jupyter notebooks](https://jupyter.org/) are a very popular format for sharing code and data analysis for machine learning and data science. They are interactive documents that can contain code, visualizations, and text.
 
+## Open models in Google Colab and Kaggle
+
+When you visit a model page on the Hugging Face Hub, you’ll see a new “Google Colab”/ "Kaggle" button in the “Use this model” drop down. Clicking this will generate a ready-to-run notebook with basic code to load and test the model. This is perfect for quick prototyping, inference testing, or fine-tuning experiments — all without leaving your browser.
+
+![Google Colab and Kaggle option for models on the Hub](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/hf-google-colab/gemma3-4b-it-dark.png)
+
+Users can also access a ready-to-run notebook by appending /colab to the model card’s URL. As an example, for the latest Gemma 3 4B IT model, the corresponding Colab notebook can be reached by taking the model card URL:
+https://huggingface.co/google/gemma-3-4b-it
+
+And then appending `/colab` to it:
+https://huggingface.co/google/gemma-3-4b-it/colab
+
+and similarly for kaggle:
+https://huggingface.co/google/gemma-3-4b-it/kaggle
+
+
+If a model repository includes a file called `notebook.ipynb`, we will use it for Colab and Kaggle instead of the auto-generated notebook content. Model authors can provide tailored examples, detailed walkthroughs, or advanced use cases while still benefiting from one-click Colab integration. [NousResearch/Genstruct-7B](https://huggingface.co/NousResearch/Genstruct-7B) is one such example.
+
+![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/hf-google-colab/genstruct-notebook-dark.png)
+
 ## Rendering Jupyter notebooks on the Hub
 
 Under the hood, Jupyter Notebook files (usually shared with a `.ipynb` extension) are JSON files. While viewing these files directly is possible, it's not a format intended to be read by humans. The Hub has rendering support for notebooks hosted on the Hub. This means that notebooks are displayed in a human-readable format.