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🛰️ Spacika — Custom Named Entity Recognition Model
Spacika is a powerful and lightweight Named Entity Recognition (NER) model, fine-tuned to extract meaningful entities like names, organizations, locations, and more from natural language text.
Created with precision and passion by Varnika, Spacika blends the power of transformer-backed models with production-friendly NER pipeline.
✨ Features
- ✅ Fast and efficient NER tagging
- 🧠 Transformer-based backbone
- 📚 Trained on domain-specific and/or general English data
- 🔖 Identifies entities like
PERSON,ORG,GPE,DATE,MONEY, and more - 🌐 Easy to load, test, and integrate into any Python NLP workflow
🤝 Collaborate with Me
I'm open to collaborations, research projects, and ideas to extend this model or build similar applications.
📬 Email: [email protected]
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