Triton Machine Learning Model Collections

This is part of cpp-ml-server project that holds the models configurations for Triton Inference Engine.

Build Model

Please read how to use different model sources and model configurations with Triton Inference Server Guide

1. Load and export Timm Classification Model to ONNX

// Modify the model name in the script then run
python3 export_onnx.py

Model Repository

1. Imagenet Classification Static
   • Name: imagenet_classification_static
   • Max batch size: 1
   • Model origin: timm/efficientnetv2_rw_s