Get started with Derm Foundation

  • Derm Foundation can be downloaded and run locally, offering a flexible option for experimentation and handling moderate data volumes.

  • For production-level deployments, Derm Foundation can be deployed as a scalable HTTPS endpoint on Vertex AI via Model Garden, ensuring high availability and low latency.

  • Batch prediction jobs through Vertex AI are recommended for processing larger datasets in batch workflows, providing efficient handling of high-volume data processing.

  • A research endpoint is available for preliminary testing and exploration of the Derm Foundation online service before committing to a full deployment.

  • Users can engage with the Derm Foundation team through GitHub Discussions, GitHub Issues, or by email for support, feedback, and collaboration.

You can get started in 4 ways:

Run it locally

Download the model from Hugging Face and run it locally.

This is the recommended option, if you want to experiment with the model and don't need to handle a high volume of data. Our GitHub repository includes a notebook that you can use to explore the model.

Deploy your own online service

Derm Foundation 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.

Read the API specification to learn how to create online clients that interact with the service. A sample notebook is available to help you get started quickly.

For custom requirements, you can also adapt our model serving implementation and host it yourself on any API management system.

Launch a batch job

For larger dataset 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.

Refer to the "Get batch predictions" section in the Quick start with Model Garden notebook to get started.

Try out our online service

You can test out the online service before committing to deploying your own using our research endpoint.

This endpoint is for research purposes only.

Contact

You can reach out in several ways: