Data annotation for Sparky
Organize and process datasets using AI
Explore datasets on a Nomic Atlas map
Explore recent datasets from Hugging Face Hub
Create and manage AI datasets for training models
Train a model using custom data
Perform OSINT analysis, fetch URL titles, fine-tune models
Annotation Tool
Count tokens in datasets and plot distribution
Convert a model to Safetensors and open a PR
ReWrite datasets with a text instruction
Convert and PR models to Safetensors
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.