🌐 AI Token Visualization Tool with Perfect Multilingual Support
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🌐 AI Token Visualization Tool with Perfect Multilingual Support
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Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.
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Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.
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https://huggingface.co/spaces/aiqtech/LLM-Token-Visual
aiqtech/LLM-Token-Visual
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https://huggingface.co/spaces/aiqtech/LLM-Token-Visual
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✨ Key Features
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✨ Key Features
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🤖 Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more
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🤖 Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more
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🔄 Custom Model Support: Use any tokenizer available on HuggingFace
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🔄 Custom Model Support: Use any tokenizer available on HuggingFace
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📊 Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more
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📊 Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more
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🌈 Visual Token Representation: Each token assigned a unique color for visual distinction
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🌈 Visual Token Representation: Each token assigned a unique color for visual distinction
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📂 File Analysis Support: Upload and analyze large files
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📂 File Analysis Support: Upload and analyze large files
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🌏 Powerful Multilingual Support
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🌏 Powerful Multilingual Support
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The most significant advantage of this tool is its perfect support for all languages:
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The most significant advantage of this tool is its perfect support for all languages:
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📝 Asian languages including Korean, Chinese, and Japanese fully supported
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📝 Asian languages including Korean, Chinese, and Japanese fully supported
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🔤 RTL (right-to-left) languages like Arabic and Hebrew supported
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🔤 RTL (right-to-left) languages like Arabic and Hebrew supported
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🈺 Special characters and emoji tokenization visualization
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🈺 Special characters and emoji tokenization visualization
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🧩 Compare tokenization differences between languages
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🧩 Compare tokenization differences between languages
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💬 Mixed multilingual text processing analysis
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💬 Mixed multilingual text processing analysis
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🚀 How It Works
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🚀 How It Works
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Select your desired tokenizer model (predefined or HuggingFace model ID)
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Select your desired tokenizer model (predefined or HuggingFace model ID)
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Input multilingual text or upload a file for analysis
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Input multilingual text or upload a file for analysis
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Click 'Analyze Text' to see the tokenized results
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Click 'Analyze Text' to see the tokenized results
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Visually understand how the model breaks down various languages with color-coded tokens
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Visually understand how the model breaks down various languages with color-coded tokens
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💡 Benefits of Multilingual Processing
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💡 Benefits of Multilingual Processing
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Understanding multilingual text tokenization patterns helps you:
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Understanding multilingual text tokenization patterns helps you:
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Optimize prompts that mix multiple languages
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Optimize prompts that mix multiple languages
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Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage)
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Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage)
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Predict token usage for internationalization (i18n) applications
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Predict token usage for internationalization (i18n) applications
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Optimize costs for multilingual AI services
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Optimize costs for multilingual AI services
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🛠️ Technology Stack
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🛠️ Technology Stack
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Backend: Flask (Python)
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Backend: Flask (Python)
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Frontend: HTML, CSS, JavaScript (jQuery)
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Frontend: HTML, CSS, JavaScript (jQuery)
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Tokenizers: 🤗 Transformers library
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Tokenizers: 🤗 Transformers library
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🌐 AI Token Visualization Tool with Perfect Multilingual Support

Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.

https://huggingface.co/spaces/aiqtech/LLM-Token-Visual

✨ Key Features

🤖 Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more
🔄 Custom Model Support: Use any tokenizer available on HuggingFace
📊 Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more
🌈 Visual Token Representation: Each token assigned a unique color for visual distinction
📂 File Analysis Support: Upload and analyze large files

🌏 Powerful Multilingual Support
The most significant advantage of this tool is its perfect support for all languages:

📝 Asian languages including Korean, Chinese, and Japanese fully supported
🔤 RTL (right-to-left) languages like Arabic and Hebrew supported
🈺 Special characters and emoji tokenization visualization
🧩 Compare tokenization differences between languages
💬 Mixed multilingual text processing analysis

🚀 How It Works

Select your desired tokenizer model (predefined or HuggingFace model ID)
Input multilingual text or upload a file for analysis
Click 'Analyze Text' to see the tokenized results
Visually understand how the model breaks down various languages with color-coded tokens

💡 Benefits of Multilingual Processing
Understanding multilingual text tokenization patterns helps you:

Optimize prompts that mix multiple languages
Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage)
Predict token usage for internationalization (i18n) applications
Optimize costs for multilingual AI services

🛠️ Technology Stack

Backend: Flask (Python)
Frontend: HTML, CSS, JavaScript (jQuery)
Tokenizers: 🤗 Transformers library

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