Data annotation for Sparky
Upload files to a Hugging Face repository
Label data efficiently with ease
Download datasets from a URL
Explore and manage datasets for machine learning
Build datasets using natural language
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Upload files to a Hugging Face repository
Organize and process datasets using AI
Label data for machine learning models
Search for Hugging Face Hub models
Convert PDFs to a dataset and upload to Hugging Face
SparkyArgilla is a specialized tool designed for data annotation and management in machine learning workflows. It is specifically tailored for use with Sparky, enabling users to organize, label, and analyze datasets efficiently. The platform is built to streamline the data preparation process, which is critical for training accurate machine learning models.
What systems are compatible with SparkyArgilla?
SparkyArgilla is compatible with Windows, macOS, and Linux systems.
Can I use SparkyArgilla without Sparky?
Yes, SparkyArgilla can be used as a standalone tool for data annotation, but it is optimized for use with Sparky for machine learning workflows.
How do I get support for SparkyArgilla?
Support is available through the official documentation, community forums, and priority support for enterprise users.