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Determined AI Documentation
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version 0.19.10

Get Started

  • Quickstart for Model Developers
  • Tutorials
    • PyTorch MNIST Tutorial
    • PyTorch Porting Tutorial
    • TensorFlow Keras Fashion MNIST Tutorial
  • Examples
  • Model Hub
    • Huggingface Trainsformers
      • Tutorial
      • Examples
    • MMDetection
  • System Architecture

Model Developer Guide

  • Introduction to Distributed Training
  • Prepare Container Environment
    • Set Environment Images
    • Customize Environment
  • Prepare Data
  • Training API Guides
    • Core API
      • Getting Started
      • Report Metrics
      • Report Checkpoints
      • Hyperparameter Search
      • Distributed Training
    • PyTorch API
    • PyTorch Lightning API
    • Keras API
    • DeepSpeed API
      • Usage Guide
      • Advanced Usage
      • PyTorchTrial to DeepSpeedTrial
    • Estimator API
  • Hyperparameter Tuning
    • Configure Hyperparameter Ranges
    • Hyperparameter Search Constraints
    • Instrument Model Code
    • Handle Trial Errors and Early Stopping Requests
    • Search Methods
      • Adaptive (Asynchronous) Method
      • Grid Method
      • Random Method
      • Single Search Method
      • Custom Search Methods
  • Submit Experiment
  • How to Debug Models
  • Model Management
    • Checkpoints
    • Organize Models in the Model Registry
  • Best Practices

Administrator Guide

  • Basic Setup
  • Cluster Deployment
    • Deploy on Prem
      • Installation Requirements
      • Install Determined Using Docker
      • Install Determined Using det deploy
      • Install Determined Using Linux Packages
    • Deploy on AWS
      • Install Determined
      • Deploy Determined with Dynamic Agents
      • Use Spot Instances
    • Deploy on GCP
      • Install Determined
      • Deploy Determined with Dynamic Agents
    • Deploy on Kubernetes
      • Install Determined on Kubernetes
      • Set up and Manage an Azure Kubernetes Service (AKS) Cluster
      • Set up and Manage an AWS Kubernetes (EKS) Cluster
      • Set up and Manage a Google Kubernetes Engine (GKE) Cluster
      • Development Guide
      • Customize a Pod
      • Helm and Kubectl Command Examples
      • Troubleshooting
    • Deploy on Slurm/PBS
      • Installation Requirements
      • Install Determined on Slurm/PBS
      • Provide a Container Image Cache
      • Known Issues
  • Security
    • OAuth 2.0 Configuration
    • Transport Layer Security
    • OpenID Connect Integration
    • SAML Integration
    • SCIM Integration
    • RBAC
  • User Accounts
  • Workspaces and Projects
  • Logging and Elasticsearch
  • Cluster Usage History
  • Monitor Experiment Through Webhooks
    • Through Zapier
    • Through Slack
  • Upgrade
  • Troubleshooting

Reference

  • Python SDK
  • REST API
  • Training Reference
    • Core API Reference
    • PyTorch API Reference
    • PyTorch Lightning API Reference
    • Keras API Reference
    • DeepSpeed API Reference
    • Estimator API Reference
    • Experiment Configuration
  • Model Hub Reference
    • MMDetection API
    • Transformers API
  • Deployment Reference
    • Common Configuration Options
    • Master Configuration Reference
    • Agent Configuration Reference
    • Helm Chart Configuration Reference
  • Job Configuration Reference
  • Custom Searcher Reference

Tools

  • Commands and Shells
  • WebUI Interface
  • Jupyter Notebooks
  • TensorBoards

Integrations

  • Works with Determined
  • IDE Integration
  • Prometheus and Grafana
  • Open Source Licenses

Model Hub APIsΒΆ

This section includes reference documentation for the model hub APIs:

Topic

Documentation Content

MMDetection API

The MMDetection API reference, which makes it easy to use the popular MMDetection library with Determined.

Transformers API

The Transformers API reference for using the Huggingface transformers library with Determined.
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MMDetection API
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Experiment Configuration Reference
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