Everinfer
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  • Introduction
  • Getting started
    • Basics
    • Model management
    • Limitations
    • Faster-RCNN example
  • Examples
    • GPT2: 900+RPS
    • BERT With Zero Overhead
    • Segformer from HuggingFace
    • Stable Diffusion: Decouple GPU Ops from Code
  • Essays
    • Our Vision for Serverless ML and Everinfer Internals
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  1. Getting started

Faster-RCNN example

Run your first production-ready app — Faster-RCNN object detection model.

PreviousLimitationsNextGPT2: 900+RPS

Last updated 1 year ago

Intro

By the end of this tutorial, you will be well-prepared to use Everinfer for any CV/NLP task.

This example shows how to run an object detection model from scratch, starting with an ONNX graph only. We demonstrate the workflow on the test split of the 2017 COCO dataset.

That tutorial will enable you to:

efficiently process thousands of images

chain multiple ONNX graphs

integrate complex models

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Proceed to Colab Notebook