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Get started
  • Overview
  • Quick start
Concepts
  • Why Baseten
  • How Baseten works
Development
  • Concepts
  • Model APIs
  • Developing a model
  • Developing a Chain
Deployment
  • Concepts
  • Deployments
  • Environments
  • Resources
  • Autoscaling
Inference
  • Concepts
  • Call your model
  • Streaming
  • Async inference
  • Structured LLM output
  • Output formats
  • Integrations
Training
  • Overview
  • Getting started
  • Concepts
  • Management
  • Deploying checkpoints
Observability
  • Metrics
  • Status and health
  • Security
  • Exporting metrics
  • Tracing
  • Billing and usage
Troubleshooting
  • Deployments
  • Inference
  • Support
  • Return to Baseten
Baseten home pagelight logodark logo
  • Support
  • Return to Baseten
  • Return to Baseten
Documentation
Examples
Reference
Status
Documentation
Examples
Reference
Status

Quick start

1

What modality are you working with?

Select a different modality

quick-start-custom-models

Custom models

Deploy any model

2

Select a model or guide to get started

Developing a foundational model or …

Deploy a Dockerized model

Deploy any model in a Docker container

Deploy a Transformers model

Package and deploy any model built with Transformers

Developing a model

Learn the core concepts of developing a model on Baseten

Developing a Chain

Orchestrate multiple models and logic, enabling complex inference workflows.

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