Organize and invoke AI models with Flow visualization
Upload files to a Hugging Face repository
Label data for machine learning models
Create datasets with FAQs and SFT prompts
Browse TheBloke models' history
Explore datasets on a Nomic Atlas map
Support by Parquet, CSV, Jsonl, XLS
Create a domain-specific dataset project
Find and view synthetic data pipelines on Hugging Face
Generate dataset for machine learning
Organize and process datasets efficiently
Download datasets from a URL
Fast is an AI tool designed to help users organize and invoke AI models efficiently. It offers a flow visualization interface, making it easier to manage complex AI workflows and integrate different models into a coherent system. Fast simplifies the process of working with multiple AI models by providing a structured environment for creating and executing workflows.
What operating systems does Fast support?
Fast is designed to work on Windows, macOS, and Linux systems, ensuring cross-platform compatibility.
Do I need programming knowledge to use Fast?
While basic programming concepts can be helpful, Fast provides an intuitive graphical interface, making it accessible to users without extensive coding experience.
Can I integrate custom AI models with Fast?
Yes, Fast supports custom AI models via its flexible import options, allowing integration with a variety of AI frameworks like TensorFlow, PyTorch, and more.