Explore token probability distributions with sliders
Display CLIP benchmark results for inference performance
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Display competition information and manage submissions
Need to analyze data? Let a Llama-3.1 agent do it for you!
Analyze data to generate a comprehensive profile report
Parse bilibili bvid to aid / cid
View monthly arXiv download trends since 1994
Generate a data profile report
What happened in open-source AI this year, and what’s next?
Evaluate model predictions and update leaderboard
Calculate and explore ecological data with ECOLOGITS
M-RewardBench Leaderboard
Token Probability Distribution is a powerful tool designed for visualizing and exploring the probability distributions of tokens in a given text. It allows users to interact with the distribution through sliders, enabling a deeper understanding of how tokens contribute to the overall text. This tool is particularly useful for natural language processing (NLP) tasks and is seamlessly integrated with AI models to provide real-time insights.
What is the purpose of the sliders in Token Probability Distribution?
The sliders allow you to adjust parameters that influence the token probability distribution, enabling you to explore different scenarios and refine your analysis.
How can I interpret the visualization provided by Token Probability Distribution?
The visualization represents the likelihood of each token appearing in the text.Higher peaks indicate tokens with higher probabilities, while lower peaks suggest less likely tokens.
Does Token Probability Distribution support different tokenization models?
Yes, the tool is designed to work with various tokenization models and sizes, offering flexibility for diverse NLP tasks.