Demo notebook to log and create model serving service for a MedGemma model

LLM Model Serving/README.md

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+# Model Serving in Snowpark Container Services
+
+[Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/snowflake-ml/model-registry/container)
+See the [Examples](#examples) section to find end-to-end examples of using Model Serving in SPCS.
+
+## Setup
+
+Ensure you have the latest available `snowflake-ml-python` SDK.
+
+```bash
+pip install snowflake-ml-python
+```
+
+## Getting Started
+
+### Prerequisites
+
+1. [Create a Compute Pool](https://docs.snowflake.com/en/developer-guide/snowflake-ml/model-registry/container#create-a-compute-pool)
+2. [Create an Image Repository](https://docs.snowflake.com/en/developer-guide/snowflake-ml/model-registry/container#create-an-image-repository)
+
+## Examples
+
+### Jupyter Notebooks
+
+Examples showcasing how Model Serving can be used from a notebook environment like Jupyter or Snowflake Notebook.
+
+- [Med Gemma Quickstart Notebook](./med_gemma.ipynb) - log a MedGemma model and serve using SPCS.