Compare different tokenizers in char-level and byte-level.
Analyze content to detect triggers
"One-minute creation by AI Coding Autonomous Agent MOUSE"
Display and explore model leaderboards and chat history
Predict song genres from lyrics
ModernBERT for reasoning and zero-shot classification
Explore and interact with HuggingFace LLM APIs using Swagger UI
Easily visualize tokens for any diffusion model.
Extract... key phrases from text
Generate Shark Tank India Analysis
Submit model predictions and view leaderboard results
Detect if text was generated by GPT-2
Determine emotion from text
Tokenizer Arena is a powerful tool designed for comparing and analyzing different tokenizers at both character-level and byte-level tokenization. It allows users to explore and understand how various tokenization methods process text data, making it an essential resource for text analysis and natural language processing tasks. The platform provides a comprehensive environment to evaluate and visualize tokenization outcomes, helping users make informed decisions about the best tokenization approach for their specific needs.
• Comparator Tool: Directly compare tokenization results from different methods side-by-side.
• Char-Level & Byte-Level Support: Analyze tokenization at both character and byte levels for deeper insights.
• Customizable Tokenizers: Define and test custom tokenization rules or use predefined models.
• Real-Time Comparison: Get instant results as you experiment with different tokenization approaches.
• Visualizations: Gain clarity with detailed charts and graphs that highlight differences in tokenization outputs.
• Export Capabilities: Save and share your comparison results for further analysis or collaboration.
What types of tokenizers are supported?
Tokenizer Arena supports a wide range of tokenizers, including popular pretrained models and custom-defined rules.
Can I customize the tokenization rules?
Yes, Tokenizer Arena allows you to define and test custom tokenization rules alongside predefined models.
How do I visualize the differences in tokenization outputs?
The tool provides visual representations, such as charts and graphs, to help you understand the differences in how text is tokenized.