You can get started in 4 ways:
Run it locally
Download the MedGemma model you are interested in from Hugging Face and run it locally.
This is the recommended option if you want to experiment with MedGemma and don't need to handle a high volume of data. Note to run the 27B model without quantization you will need to use Colab Enterprise. Our GitHub repository includes a notebook that you can use to explore the model.
Deploy your own online service
MedGemma can be deployed as a highly available and scalable HTTPS endpoint on Vertex AI. The easiest way is through Model Garden.
This option is ideal for production-grade, online applications with low latency, high scalability and availability requirements. Refer to Vertex AI's service level agreement (SLA) and pricing model for online predictions.
A sample notebook is available to help you get started quickly.
Fine-tune MedGemma
MedGemma can be fine-tuned using your own medical data to optimize its performance for your use cases. A sample notebook is available that you can adapt for your data and use case.
Launch a batch job
For larger datasets in a batch workflow, it's best to launch it as a Vertex AI batch prediction job. Note that Vertex AI's SLA and pricing model are different for batch prediction jobs.
Contact
You can reach out in several ways:
- Start or join a conversation on GitHub Discussions.
- File a Feature Request or Bug at GitHub Issues.
- Send us feedback at
hai-def@google.com.