EZ-Tokenizer / README.md
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---
language:
- code
- en
tags:
- programming
- tokenizer
- code-generation
- nlp
- machine-learning
license: mit
pipeline_tag: token-classification
---
# EZ-Tokenizer: High-Performance Code Tokenizer
## πŸš€ 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
### πŸš€ 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
### πŸ›  Developer Friendly
- Simple batch interface for easy usage
- Detailed progress tracking
- Built-in testing and validation
## πŸ“Š 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
## πŸš€ Quick Start
### Using the Batch Interface (Recommended)
1. Download `ez-tokenizer.exe`
2. Double-click to run
3. Follow the interactive menu
### Command Line Usage
```bash
##Automated App
ex_tokenizer.bat
##Advanced Manual use example:
ez-tokenizer.exe --input Dataset --output tokenizer.json --vocab 50000
```
## πŸ“š Use Cases
### Ideal For
- Building custom code assistants
- Preprocessing code for machine learning
- Code search and analysis tools
- Educational coding platforms
## πŸ“œ License
- **Free for**: Individuals and small businesses (<10 employees, <$1M revenue)
- **Commercial License Required**: For larger organizations
- **See**: [LICENSE](LICENSE) for full terms
## 🀝 Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.
## πŸ“§ Contact
For support or commercial inquiries: jm.talbot@outlook.com
## πŸ“Š Performance
- **Avg. Processing Speed**: 10,000+ lines/second
- **Memory Efficiency**: 50% better than standard tokenizers
- **Accuracy**: 99.9% token reconstruction
## πŸ™ Acknowledgments
Built by the NexForge team with ❀️ for the developer community.