Dataflow ML is a Google Cloud platform for deploying and managing complete machine learning workflows. With Dataflow ML, you can prepare your data for model training with data processing tools, then use models like Gemma to perform local and remote inference with batch and streaming pipelines.
You can use Dataflow ML to seamlessly integrate Gemma into your Apache Beam inference pipelines with a few lines of code, enabling you to ingest data, verify and transform the data, feed text inputs into Gemma, and generate text output.
To learn more, refer to the following pages:
- Use Gemma open models with Dataflow: Get started with Gemma in Dataflow.
- Run inference with a Gemma open model: Tutorial that uses Gemma in an Apache Beam inference pipeline.