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EZ-Tokenizer
Johnnyman1100/EZ-Tokenizer
EZ-Tokenizer is a token classification model from Johnnyman1100. Use it when you need labels on individual words, such as names. The card lists the license as mit.
EZ-Tokenizer is a state-of-the-art tokenizer specifically designed for processing code and mixed-content datasets. Built with performance and efficiency in mind, it's perfect for developers working with large codebase…
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Updated May 30, 2025
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At a glance
- Task
- Token Classification
- License
- mit
- Access
- Public
- Created
- May 27, 2025
- Updated
- May 30, 2025
- SHA
- 05206518
Model card
From the Hugging Face model README
EZ-Tokenizer: High-Performance Code Tokenizer
🚀 Overview
EZ-Tokenizer is a state-of-the-art tokenizer specifically designed for processing code and mixed-content datasets. Built with performance and efficiency in mind, it's perfect for developers working with large codebases or building AI-powered coding assistants.
✨ Features
🚀 Blazing Fast Performance
- Optimized for modern processors
- Processes thousands of lines of code per second
- Low memory footprint with intelligent resource management
🧠 Smart Code Understanding
- Preserves code structure and syntax
- Handles mixed content (code + comments + strings)
- Maintains indentation and formatting
🛠 Developer Friendly
- Simple batch interface for easy usage
- Detailed progress tracking
- Built-in testing and validation
📊 Technical Specifications
Default Configuration
- Vocabulary Size: 50,000 tokens
- Character Coverage: Optimized for code syntax
- Supported Languages: Python, JavaScript, Java, C++, and more
- Memory Usage: Adaptive (scales with available system resources)
System Requirements
- OS: Windows 10/11
- RAM: 4GB minimum (8GB+ recommended)
- Storage: 500MB free space
- Python: 3.8 or higher
🚀 Quick Start
Using the Batch Interface (Recommended)
- Download
ez-tokenizer.exe - Double-click to run
- Follow the interactive menu
Command Line Usage
##Automated App
ex_tokenizer.bat
##Advanced Manual use example:
ez-tokenizer.exe --input Dataset --output tokenizer.json --vocab 50000
📚 Use Cases
Ideal For
- Building custom code assistants
- Preprocessing code for machine learning
- Code search and analysis tools
- Educational coding platforms
📜 License
- Free for: Individuals and small businesses (<10 employees, <$1M revenue)
- Commercial License Required: For larger organizations
- See: LICENSE for full terms
🤝 Contributing
We welcome contributions! Please see our Contributing Guidelines for details.
📧 Contact
For support or commercial inquiries: [email protected]
📊 Performance
- Avg. Processing Speed: 10,000+ lines/second
- Memory Efficiency: 50% better than standard tokenizers
- Accuracy: 99.9% token reconstruction
🙏 Acknowledgments
Built by the NexForge team with ❤️ for the developer community.
- Task
- Token Classification
- License
- mit
- Languages
- code, en
- Created
- May 27, 2025
- Updated
- May 30, 2025