Display a Bokeh plot
Explore and compare LLM models through interactive leaderboards and submissions
View and compare pass@k metrics for AI models
Finance chatbot using vectara-agentic
Try the Hugging Face API through the playground
Browse LLM benchmark results in various categories
Analyze your dataset with guided tools
Generate detailed data reports
Classify breast cancer risk based on cell features
More advanced and challenging multi-task evaluation
Browse and submit evaluation results for AI benchmarks
https://huggingface.co/spaces/VIDraft/mouse-webgen
Generate detailed data reports
Bloom Tokens is a data visualization tool designed to help users create and display Bokeh plots with ease. It serves as a user-friendly interface for generating interactive and web-based visualizations, making data exploration more accessible and engaging.
• Bokeh Plotting: Utilizes the Bokeh library to create interactive visualizations. • Web-Based Interaction: Generates plots that can be easily shared and viewed in web browsers. • Customization Options: Allows users to tailor plot designs to suit their needs. • Ease of Use: Simplifies the process of creating complex visualizations. • Integration Capabilities: Works seamlessly with various data sources and tools.
pip install bloom-tokens.What is Bloom Tokens?
Bloom Tokens is a tool that simplifies the creation of interactive Bokeh visualizations, providing an intuitive interface for data exploration.
How do I get started with Bloom Tokens?
Begin by installing Bloom Tokens using pip, then import it into your project to start creating your visualizations.
Why should I use Bokeh plots?
Bokeh plots offer interactive features and web-based viewing, enhancing data analysis and sharing capabilities.