Running TAO via Finetuning Microservice

The TAO Finetuning Microservice documentation provides comprehensive guidance for understanding, deploying, and integrating the service. Navigate to any section below to get started:

Finetuning Microservices Overview

Get started with a high-level introduction to the TAO Finetuning Microservice, its purpose, and core concepts. Read the overview.

Microservices Prerequisites and Setup

Follow step-by-step guidance to configure prerequisites and prepare your environment for deployment across various platforms. Get started with setup.

Kubernetes Deployment

Deploy the microservice using Kubernetes with detailed explanations of configurable values in the Helm chart. Learn about Kubernetes deployment.

Docker Compose Deployment

Deploy the microservice using Docker Compose with configurable settings for simplified deployment. Learn about Docker Compose deployment.

Air-gapped Environment Deployment

Deploy TAO Toolkit in secure, isolated environments without internet connectivity using pre-downloaded models and SeaweedFS storage. Learn about air-gapped deployment.

Remote Client Overview and Examples

Interact with the microservice remotely using the command line client library, complete with usage examples. Explore the remote client.

REST API Overview and Examples

Access comprehensive documentation of available REST API endpoints, including request/response formats and usage examples. View the REST API guide.

AutoML

Discover the supported AutoML algorithms, their configuration, and how to use them for automated model optimization. Learn about AutoML.

API Reference

Access OpenAPI specifications for current and previous releases of the TAO Finetuning Microservice. Browse the API reference.