Update README.md
Browse filesFull Standalone Tokenizer creator app.
README.md
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license: mit
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license: mit
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---
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---
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language:
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- code
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- en
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tags:
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- programming
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- tokenizer
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- code-generation
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- nlp
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- machine-learning
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license: mit
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pipeline_tag: token-classification
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---
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# EZ-Tokenizer: High-Performance Code Tokenizer
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## 🚀 Overview
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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.
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## ✨ Features
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### 🚀 Blazing Fast Performance
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- Optimized for modern processors
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- Processes thousands of lines of code per second
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- Low memory footprint with intelligent resource management
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### 🧠 Smart Code Understanding
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- Preserves code structure and syntax
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- Handles mixed content (code + comments + strings)
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- Maintains indentation and formatting
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### 🛠 Developer Friendly
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- Simple batch interface for easy usage
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- Detailed progress tracking
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- Built-in testing and validation
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## 📊 Technical Specifications
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### Default Configuration
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- **Vocabulary Size**: 50,000 tokens
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- **Character Coverage**: Optimized for code syntax
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- **Supported Languages**: Python, JavaScript, Java, C++, and more
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- **Memory Usage**: Adaptive (scales with available system resources)
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### System Requirements
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- **OS**: Windows 10/11
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- **RAM**: 4GB minimum (8GB+ recommended)
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- **Storage**: 500MB free space
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- **Python**: 3.8 or higher
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## 🚀 Quick Start
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### Using the Batch Interface (Recommended)
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1. Download `ez-tokenizer.exe`
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2. Double-click to run
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3. Follow the interactive menu
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### Command Line Usage
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```bash
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ez-tokenizer.exe --input Dataset --output tokenizer.json --vocab 50000
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```
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## 📚 Use Cases
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### Ideal For
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- Building custom code assistants
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- Preprocessing code for machine learning
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- Code search and analysis tools
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- Educational coding platforms
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## 📜 License
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- **Free for**: Individuals and small businesses (<10 employees, <$1M revenue)
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- **Commercial License Required**: For larger organizations
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- **See**: [LICENSE](LICENSE) for full terms
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## 🤝 Contributing
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We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.
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## 📧 Contact
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For support or commercial inquiries: jm.talbot@outlook.com
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## 📊 Performance
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- **Avg. Processing Speed**: 10,000+ lines/second
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- **Memory Efficiency**: 50% better than standard tokenizers
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- **Accuracy**: 99.9% token reconstruction
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## 🙏 Acknowledgments
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Built by the NexForge team with ❤️ for the developer community.
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