Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
View and submit LLM benchmark evaluations
Evaluate open LLMs in the languages of LATAM and Spain.
Optimize and train foundation models using IBM's FMS
Evaluate AI-generated results for accuracy
Upload a machine learning model to Hugging Face Hub
Upload ML model to Hugging Face Hub
Export Hugging Face models to ONNX
Submit deepfake detection models for evaluation
Compare code model performance on benchmarks
Create demo spaces for models on Hugging Face
Persian Text Embedding Benchmark
Convert PyTorch models to waifu2x-ios format
The STM32 Model Zoo app is a comprehensive dashboard designed for exploring, managing, and benchmarking machine learning models optimized for STM32 microcontrollers. It provides a centralized platform for users to discover pre-trained models, evaluate performance metrics, and deploy them efficiently. This tool is essential for developers working with STM32 devices to streamline their ML model development and deployment process.
• Model Browser: Easily explore and filter models based on criteria like model size, complexity, and performance.
• Performance Metrics: View detailed benchmark results, including inference time, memory usage, and accuracy.
• Model Comparison: Compare multiple models side-by-side to identify the best fit for specific applications.
• Export Functionality: Directly export models in formats compatible with STM32 devices.
• Integration Support: Compatible with STM32Cube.AI tools for seamless integration into existing workflows.
• User-Friendly Interface: Intuitive design with visualizations to simplify model selection and management.
What are the system requirements for the STM32 Model Zoo app?
The app is designed to work with STM32Cube.AI tools and requires a compatible operating system (e.g., Windows, Linux). Ensure you have the latest STM32Cube.AI software installed.
How do I find models suited for my specific application?
Use the model browser’s filters to narrow down models by size, complexity, or application domain. You can also search by keyword or sort by performance metrics.
Can I integrate custom models into the STM32 Model Zoo app?
Yes, you can add custom models to the Model Zoo by exporting them in the required format (e.g., .zip file containing model weights and metadata) and uploading them through the app’s interface.