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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
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow mlx
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