Build datasets and workflows using AI models
Manage and analyze datasets with AI tools
Support by Parquet, CSV, Jsonl, XLS
Launch and explore labeled datasets
Display translation benchmark results from NTREX dataset
Display instructional dataset
Train a model using custom data
Annotation Tool
Label data efficiently with ease
Find and view synthetic data pipelines on Hugging Face
Upload files to a Hugging Face repository
Speech Corpus Creation Tool
Explore recent datasets from Hugging Face Hub
Fast is an AI-powered tool designed to streamline the process of building datasets and workflows. It leverages advanced AI models to help users create, manage, and optimize datasets efficiently. Whether you're working on data-driven projects, machine learning models, or data-intensive workflows, Fast provides a robust solution to simplify and accelerate your dataset creation process.
• AI-Powered Dataset Creation: Utilize cutting-edge AI models to generate high-quality datasets tailored to your specific needs.
• Workflow Automation: Automate repetitive tasks and focus on more critical aspects of your project.
• User-Friendly Interface: Intuitive design makes it easy to define dataset requirements, preview outputs, and refine results.
• Integration Capabilities: Seamlessly integrate with popular platforms like Python, Jupyter notebooks, and more.
• Multiple Data Formats: Support for various data formats including CSV, JSON, Excel, and others.
• Collaboration Features: Share datasets and workflows with team members for efficient collaboration.
What systems or platforms is Fast compatible with?
Fast is compatible with Windows, macOS, and Linux operating systems. It also integrates seamlessly with Python, Jupyter notebooks, and other popular data science tools.
How do I get support if I encounter issues while using Fast?
You can reach out to Fast's support team via email, live chat, or through the in-app help center. Detailed documentation and tutorials are also available online.
Can I customize the AI models used by Fast?
Yes, Fast allows users to fine-tune AI models to better suit their specific requirements. This feature is particularly useful for advanced users or organizations with unique dataset needs.