Get started with Derm Foundation
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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.
You can reach out in several ways:
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-02-11 UTC.
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