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
99.99% Uptime for MySQL and PostgreSQL Databases
Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of mlx!