MlX offers a local web interface to browse, download, and run ML models via Hugging Face or local sources. It supports searching by tags or tasks, visualization of model metadata, quick inference demos, automatic setup of runtime environments, and works with PyTorch, TensorFlow, and ONNX. Ideal for researchers exploring and testing models via browser.
Features
- Browse and search ML models from Hugging Face or local storage
- View model metadata and performance tags
- One-click inference demos in browser
- Automatically sets up runtime environments
- Converts between model formats (ONNX, TorchScript)
- Works offline/local without requiring cloud services
Categories
Machine LearningLicense
MIT LicenseFollow mlx
Other Useful Business Software
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of mlx!