ort
yolov8_onnx_julia


ort | yolov8_onnx_julia | |
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7 | 1 | |
1,119 | 4 | |
10.8% | - | |
9.5 | 3.1 | |
8 days ago | almost 2 years ago | |
Rust | Julia | |
Apache License 2.0 | GNU General Public License v3.0 only |
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ort
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AI Inference now available in Supabase Edge Functions
To solve this, we built a native extension in Edge Runtime that enables using ONNX runtime via the Rust interface. This was made possible thanks to an excellent Rust wrapper called Ort:
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AI Inference Now Available in Supabase Edge Functions
hey hn, supabase ceo here
As the post points out, this comes in 2 parts:
1. Embeddings models for RAG workloads (specifically pgvector). Available today.
2. Large Language Models for GenAI workloads. This will be progressively rolled out as we get our hands on more GPUs.
We've always had a focus on architectures that can run anywhere (especially important for local dev and self-hosting). In that light, we've found that the Ollama[0] tooling is really unbeatable. I heard one of our engineers explain it like "docker for models" which I think is apt.
To support models that work best with GPUs, we're running them with Fly GPUs - pretty much this: https://fly.io/blog/scaling-llm-ollama (and then we stitch a native API around it). The plan is that you will be able to "BYO" model server and point the Edge Runtime towards it using simple env vars / config.
We've also made improvements for CPU models. We built a native extension in Edge Runtime that enables using ONNX runtime via the Rust interface. This was made possible thanks to an excellent Rust wrapper, Ort[1]. We have the models stored on disk, so there is no downloading, cold-boot, etc.
The thing I most like about this set up is that you can now use Edge Functions like background workers for your Postgres database, offloading heavy compute for generating embeddings. For example, you can trigger the worker when a user inserts some text, and then the worker will asynchronously create the embedding and store it back into your database.
I'll be around if there are any questions.
[0] ollama.com
[1] Ort: https://github.com/pykeio/ort
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Moving from Typescript and Langchain to Rust and Loops
In the quest for more efficient solutions, the ONNX runtime emerged as a beacon of performance. The decision to transition from Typescript to Rust was an unconventional yet pivotal one. Driven by Rust's robust parallel processing capabilities using Rayon and seamless integration with ONNX through the ort crate, Repo-Query unlocked a realm of unparalleled efficiency. The result? A transformation from sluggish processing to, I have to say it, blazing-fast performance.
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
ort - ONNX runtime library.
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Do you use Rust in your professional career?
Our main model in Rust is a deep neural network, using ONNX via the ort rust bindings. The application is some particular applications of process automation.
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onnxruntime
You could try ort https://github.com/pykeio/ort It looks like it's in active development and supports GPU inference
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
I would't try to distribute your ml models with the typical frameworks, especially not with python. Have you looked in to ONNX?For example: https://github.com/pykeio/ort
yolov8_onnx_julia
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
You can find the source code of the Julia project in this repository.
What are some alternatives?
onnxruntime-php - Run ONNX models in PHP
onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
langchainjs - 🦜🔗 Build context-aware reasoning applications 🦜🔗
yolov8_onnx_go - YOLOv8 Inference using Go
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
FaceAiSharp - State-of-the-art face detection and face recognition for .NET.
yolov8_pytorch_python - YOLOv8 inference using Ultralytics API
onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.
yolov8_onnx_rust - YOLOv8 inference using Rust

