Browse TheBloke models' history
Browse and view Hugging Face datasets from a collection
ReWrite datasets with a text instruction
Manage and label data for machine learning projects
Create a large, deduplicated dataset for LLM pre-training
Support by Parquet, CSV, Jsonl, XLS
Display trending datasets and spaces
Explore, annotate, and manage datasets
Browse and search datasets
Generate synthetic datasets for AI training
Display translation benchmark results from NTREX dataset
Create and manage AI datasets for training models
Datasette Thebloke is a tool designed to help users browse and analyze the history of TheBloke models. It provides a structured interface to explore and interact with historical data related to TheBloke's models, making it easier to track changes and understand model evolution.
• User-friendly interface: Easily navigate and explore historical model data. • Version history tracking: View changes and updates made to TheBloke models over time. • Data export capabilities: Download historical data for further analysis. • Filtering options: Narrow down data based on specific criteria. • Detailed documentation: Access information about model updates and improvements.
What is Datasette Thebloke used for?
Datasette Thebloke is primarily used to browse and analyze the history of TheBloke models, allowing users to track changes and updates over time.
How do I install Datasette Thebloke?
You can install Datasette Thebloke using pip with the following command: pip install datasette-thebloke.
Can I export data from Datasette Thebloke?
Yes, Datasette Thebloke offers data export capabilities, enabling users to download historical data for further analysis or reporting.