How to install the ort-web crate // Lib.rs

Adding `ort_web` library as a dependency

Run this command in a terminal, in your project's directory:

cargo add ort-web

To add it manually, edit your project's Cargo.toml file and add to the [dependencies] section:

ort-web = "0.3.0+1.27"

The ort_web library will be automatically available globally. Read the ort_web library documentation.

Back to the crate overview.

Readme

ort is a Rust interface for performing hardware-accelerated inference & training on machine learning models in the Open Neural Network Exchange (ONNX) format.

Based on the now-inactive onnxruntime-rs crate, ort is primarily a wrapper for Microsoft's ONNX Runtime library, but offers support for other pure-Rust runtimes.

ort with ONNX Runtime is super quick - and it supports almost any hardware accelerator you can think of. Even still, it's light enough to run on your users' devices.

When you need to deploy a PyTorch/TensorFlow/Keras/scikit-learn/PaddlePaddle model either on-device or in the datacenter, ort has you covered.

📖 Documentation

🤔 Support

🌠 Backers

💖 FOSS projects using `ort`

_{Open a PR to add your project here 🌟}

Text Embeddings Inference (TEI) uses ort to deliver high-performance ONNX Runtime inference for text embedding models.
Magika uses ort for neural network-based file type detection.
retto uses ort for reliable, fast ONNX inference of PaddleOCR models on Desktop and WASM platforms.
edge-transformers uses ort for accelerated transformer model inference at the edge.
sbv2-api is a fast implementation of Style-BERT-VITS2 text-to-speech using ort.
BoquilaHUB uses ort for local AI deployment in biodiversity conservation efforts.
CamTrap Detector uses ort to detect animals, humans and vehicles in trail camera imagery.
Ortex uses ort for safe ONNX Runtime bindings in Elixir.
oar-ocr A comprehensive OCR library, built in Rust with ort for efficient inference.
FastEmbed-rs uses ort for generating vector embeddings, reranking locally.
Ahnlich uses ort to power their AI proxy for semantic search applications.
Murmure uses ort as its core engine, leveraging NVIDIA Parakeet to deliver fully local, free, private and cross‑platform Speech‑to‑Text enhanced with LLM post‑processing.
Valentinus uses ort to provide embedding model inference inside LMDB.
SilentKeys uses ort for fast, on-device real-time dictation with NVIDIA Parakeet and Silero VAD.
Xybrid uses ort to run LLMs, ASR, and TTS natively on-device across iOS, Android, Flutter, and Unity apps and games.
Ultralytics YOLO Rust Inference is a high-performance, pure Rust library and CLI providing fast and efficient interface for running YOLO models using ort.

Adding ort_web library as a dependency

Adding `ort_web` library as a dependency