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enhanced-advanced-tokenizer
9x25dillon/enhanced-advanced-tokenizer
enhanced-advanced-tokenizer is a machine learning model from 9x25dillon. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Real implementation with actual NLP dependencies and working tokenization.
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Public
Updated Oct 13, 2025
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.py36.3 KB · 87%
At a glance
- Access
- Public
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025
- SHA
- 498ff317
Model card
From the Hugging Face model README
Enhanced Advanced Tokenizer System
🚀 Overview
Real implementation with actual NLP dependencies and working tokenization.
✅ Features
- Real Semantic Embeddings: Using sentence-transformers
- Mathematical Processing: SymPy and SciPy integration
- Named Entity Recognition: spaCy integration
- Fractal Analysis: Mathematical fractal features
- Fallback Support: Works even with missing dependencies
- High Performance: Optimized for production use
🛠 Installation
bash install_enhanced_deps.sh
🧪 Quick Test
python3 simple_working_test.py
python3 enhanced_tokenizer_minimal.py
📁 Files
enhanced_advanced_tokenizer.py- Full implementationenhanced_tokenizer_minimal.py- Minimal with fallbacksinstall_enhanced_deps.sh- Installation scriptsimple_working_test.py- Basic test
🔧 Dependencies
- PyTorch 1.9.0+
- Transformers 4.20.0+
- Sentence Transformers 2.2.0+
- spaCy 3.4.0+
- SymPy 1.11.0+
- SciPy 1.9.0+
- scikit-learn 1.1.0+
Ready for production use! 🎉
- Created
- Oct 13, 2025
- Updated
- Oct 13, 2025