Create and manage AI datasets for training models
Explore recent datasets from Hugging Face Hub
Convert and PR models to Safetensors
Save user inputs to datasets on Hugging Face
Create a domain-specific dataset seed
Find and view synthetic data pipelines on Hugging Face
Label data for machine learning models
Generate a Parquet file for dataset validation
Create a large, deduplicated dataset for LLM pre-training
Evaluate evaluators in Grounded Question Answering
Convert a model to Safetensors and open a PR
Train a model using custom data
Fast is a powerful tool designed for dataset creation and management, specifically tailored for training AI and machine learning models. It simplifies the process of preparing high-quality datasets, enabling users to focus on developing accurate and reliable models. With Fast, you can efficiently create, organize, and manage datasets to fuel your AI projects.
• Data Ingestion: Easily import data from various sources, including files, databases, and cloud storage.
• Data Labeling: Apply labels and annotations to your data for supervised learning tasks.
• Data Validation: Ensure the quality and consistency of your dataset with built-in validation tools.
• Collaboration: Work with teams to manage datasets and track changes in real-time.
• Integration: Seamlessly integrate with popular machine learning frameworks and tools.
• Customization: Define custom workflows and rules to fit your specific dataset needs.
What file formats does Fast support?
Fast supports a wide range of file formats, including CSV, JSON, TIFF, PNG, and more, depending on your data type.
Can I use Fast for real-time data ingestion?
Yes, Fast allows you to ingest data in real-time from databases and streaming sources, making it suitable for dynamic datasets.
Is Fast suitable for large-scale datasets?
Absolutely! Fast is optimized for handling large-scale datasets and can scale with your needs, whether you're working with gigabytes or terabytes of data.