Explore token probability distributions with sliders
Generate images based on data
NSFW Text Generator for Detecting NSFW Text
Display CLIP benchmark results for inference performance
Analyze and visualize your dataset using AI
Need to analyze data? Let a Llama-3.1 agent do it for you!
Form for reporting the energy consumption of AI models.
Create detailed data reports
This is AI app that help to chat with your CSV & Excel.
View and compare pass@k metrics for AI models
Analyze and visualize Hugging Face model download stats
Try the Hugging Face API through the playground
World warming land sites
Token Probability Distribution is a data visualization tool designed to explore and analyze the probability distribution of tokens in a given dataset. It allows users to interactively visualize how probabilities are spread across different tokens, such as words, characters, or symbols, using intuitive sliders and real-time updates. This tool is particularly useful in understanding patterns, trends, and relationships within text data.
• Interactive Visualization: Explore token probabilities with dynamic sliders that allow real-time adjustments.
• Customizable Parameters: Adjust probability thresholds, token lengths, and distribution types to suit your analysis needs.
• Multiple Chart Types: Visualize distributions using bar charts, histograms, or heatmaps for better insights.
• Export Options: Save visuals or data for further analysis or reporting.
• Handling High-Dimensional Data: Easily manage and visualize large datasets with advanced filtering and aggregation options.
What is the main purpose of Token Probability Distribution?
The main purpose is to visualize and analyze how probabilities are distributed across tokens, helping users identify important tokens or patterns in their data.
How do I adjust token probabilities using the tool?
Use the interactive sliders to modify thresholds or token lengths, and the visualization will update in real time to reflect these changes.
Can I use Token Probability Distribution for non-text data?
Yes, the tool supports any type of token data, including symbols, characters, or custom tokens, making it versatile for various applications.