Easily visualize tokens for any diffusion model.
Find the best matching text for a query
Provide feedback on text content
Give URL get details about the company
Track, rank and evaluate open LLMs and chatbots
Search for similar AI-generated patent abstracts
Explore and interact with HuggingFace LLM APIs using Swagger UI
Generate insights and visuals from text
Detect emotions in text sentences
Analyze sentiment of text input as positive or negative
Detect if text was generated by GPT-2
Embedding Leaderboard
Experiment with and compare different tokenizers
DiffusionTokenizer is a text analysis tool designed to help users visualize tokens for any diffusion model. It provides a straightforward way to generate token counts and visualizations for diffusion prompts, making it easier to understand how text is represented and processed by these models.
• Token Counting: Automatically counts the number of tokens in a given prompt. • Visualization: Generates visual representations of token distributions. • Model Compatibility: Works seamlessly with various diffusion models. • Clipboard Support: Allows easy copying of tokenized results. • Data Export: Enables users to export token data for further analysis. • User-Friendly Design: Features an intuitive interface for smooth navigation.
What is DiffusionTokenizer used for?
DiffusionTokenizer is used to analyze and visualize token representations in diffusion models, helping users understand how their prompts are processed.
What file formats can I export token data in?
Token data can be exported in formats such as CSV or JSON for further analysis.
Can I use DiffusionTokenizer with any diffusion model?
Yes, DiffusionTokenizer is designed to be compatible with most popular diffusion models.