Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Run benchmarks on prediction models
Browse and filter machine learning models by category and modality
Explore and benchmark visual document retrieval models
Benchmark AI models by comparison
Multilingual Text Embedding Model Pruner
View and compare language model evaluations
Browse and evaluate ML tasks in MLIP Arena
Calculate memory usage for LLM models
Optimize and train foundation models using IBM's FMS
Browse and evaluate language models
Create and upload a Hugging Face model card
Teach, test, evaluate language models with MTEB Arena
The STM32 Model Zoo App is a tool designed for exploring and managing machine learning (ML) models optimized for STM32 microcontrollers. It provides a centralized dashboard to discover, evaluate, and deploy ML models, enabling developers to streamline their workflow when working with STM32Cube.AI.
What platforms are supported by the STM32 Model Zoo App?
The app supports STM32 microcontrollers and is compatible with STM32Cube.AI tools.
How do I update models in the STM32 Model Zoo App?
Models are regularly updated by STMicroelectronics. Users can refresh the model repository within the app to access the latest versions.
Is technical support available for the STM32 Model Zoo App?
Yes, users can access documentation, forums, and support resources through the STM32Cube.AI ecosystem.