Create demo spaces for models on Hugging Face
View and compare language model evaluations
Benchmark models using PyTorch and OpenVINO
Find and download models from Hugging Face
Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
View and submit LLM benchmark evaluations
Launch web-based model application
Multilingual Text Embedding Model Pruner
View and submit machine learning model evaluations
Push a ML model to Hugging Face Hub
Evaluate model predictions with TruLens
Analyze model errors with interactive pages
Calculate memory usage for LLM models
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.