Create demo spaces for models on Hugging Face
Retrain models for new data at edge devices
View and submit machine learning model evaluations
Explore and visualize diverse models
Submit models for evaluation and view leaderboard
Evaluate open LLMs in the languages of LATAM and Spain.
Benchmark LLMs in accuracy and translation across languages
Compare audio representation models using benchmark results
Quantize a model for faster inference
Display LLM benchmark leaderboard and info
Load AI models and prepare your space
Search for model performance across languages and benchmarks
Browse and filter machine learning models by category and modality
Space That Creates Model Demo Space is a tool designed to help users create demo spaces for models on Hugging Face. It simplifies the process of showcasing and interacting with machine learning models, making it easier to demonstrate their capabilities in a structured and user-friendly environment.
• Model Benchmarking: Compare and evaluate different models within a single interface.
• Customizable Spaces: Tailor your demo space to specific use cases or projects.
• Ease of Use: Intuitive interface for both model creators and end-users.
• Integration with Hugging Face: Directly leverage the Hugging Face ecosystem.
• Interactive Demos: Allow users to experience model outputs in real-time.
• Version Tracking: Manage multiple iterations of your models seamlessly.
What models are supported by Space That Creates Model Demo Space?
Space That Creates Model Demo Space supports a wide range of models available on Hugging Face, including popular architectures like BERT, GPT, and others.
Can I add custom content to my demo space?
Yes, you can customize your demo space with additional content such as images, videos, and detailed descriptions to provide context for your models.
Where are the demo spaces hosted?
All demo spaces are hosted directly on Hugging Face, ensuring seamless integration with the existing model hub ecosystem.