Create demo spaces for models on Hugging Face
Find recent high-liked Hugging Face models
Display model benchmark results
Push a ML model to Hugging Face Hub
Evaluate LLM over-refusal rates with OR-Bench
View NSQL Scores for Models
Browse and filter machine learning models by category and modality
Display benchmark results
View and submit language model evaluations
View and submit LLM benchmark evaluations
Download a TriplaneGaussian model checkpoint
Merge machine learning models using a YAML configuration file
Convert PaddleOCR models to ONNX format
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.