triton-sentence-transformer-tutorial

Deploying a Sentence Transformer with Triton Inference Server

This repository contains all the necessary code and scripts to deploy a huggingface retrieval model such as multilingual-e5-large using NVIDIA's Triton Inference Server. The guide covers every step from model export, configuration, and optimization to deploying the model on Triton for high-performance inference.

Contents

• Model conversion scripts (e.g., ONNX or TensorFlow to Triton format)
• Configuration files (config.pbtxt)
• Docker setup for Triton Server
• Load testing code for sending inference requests

A complete step-by-step guide is available in my detailed blog post: Deploying a Sentence Transformer with Triton Inference Server. This post explains the deployment process and how to use the files provided in this repository.

How to Use

Clone this repository:

git clone [email protected]:rproskuryakov/triton-sentence-transformer-tutorial.git
cd triton-sentence-transformer-tutorial

Follow the instructions in the guide to set up Triton and deploy your model.

License

This project is licensed under the MIT License.