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DocumentationAPI Reference

Deci Platform Quickstart Guide

  • Quickstart
    • Step 1 – Launching the Deci Platform
    • Step 2 – Exploring an Example Project
    • Step 3 – Adding Your Model
    • Step 4 – Optimizing Your Model
    • Step 5 – Benchmarking Your Model(s)
  • Model Zoo – Practicing with Pre-trained Models
    • Model Zoo Models
  • Lab – Managing and Optimizing Your Models
  • Insights Tab – Benchmarking Your Models
    • Overview Section
    • Performance Section
    • Accuracy Metrics Section
    • Finding the Optimal Hardware Benchmark

Infery - A python inference engine

  • Introducing Infery
  • Installing Infery
  • Quick Start
  • Loading Model
  • Error Handling
  • Infery Examples On GitHub

Release Notes

  • Deci Platform Release Notes
  • Supported Deep Learning Frameworks

FAQs

  • What is?
    • What is the Deci Platform?
    • What is Model Runtime Performance?
    • What is AutoNAC?
    • What is Infery?
  • How Does Deci Work?
    • Does Deci accelerate the training of deep learning models?
    • Which model checkpoint does the Deci platform support?
    • Efficient Frontier Methodology
  • How Do I?
    • How can I compare a model across various hardware?
    • How Do I Upload My PyTorch Model into Deci?

Troubleshooting

  • I can’t log-in
  • My model upload fails
  • My model fails to benchmark
  • My model benchmark stats are empty
  • I can’t select a specific hardware or batch size to benchmark in the Insights screen.
  • My model optimization fails

Step 1 – Launching the Deci Platform

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Sign up and log in to the Deci Platform

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The Deci Lab displays your deep learning model repository. This Lab is your working environment in which you can manage, optimize and deploy your models.

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Updated over 1 year ago


What’s Next
  • Step 2 – Exploring an Example Projectarrow-right
  • Table of Contents
    • Sign up and log in to the Deci Platform