This is the Linux app named ort whose latest release can be downloaded as v2.0.0-rc.12sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named ort with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
ort
DESCRIPTION
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn. The library emphasizes speed and efficiency, leveraging hardware acceleration across CPUs, GPUs, and specialized accelerators to deliver low-latency inference both on-device and in server environments. One of its key strengths is its flexibility, as it supports multiple backends and allows developers to configure execution providers depending on available hardware. ort also includes advanced capabilities such as model compilation and optimization, reducing startup time and improving runtime performance in production systems.
Features
- Rust-native interface for ONNX Runtime inference and training
- Hardware acceleration across CPU, GPU, and specialized devices
- Support for multiple execution providers and backends
- Model optimization and ahead-of-time compilation capabilities
- Cross-platform deployment including edge and server environments
- Safe and ergonomic API for integrating ML into Rust systems
Programming Language
Rust
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ort.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
