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| title: HealthcareNER Fr | |
| emoji: 📉 | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Educational French Healthcare NER Demo | |
| # Educational French Healthcare NER Demo | |
| Book companion for "Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face" | |
| ## 🎯 Purpose | |
| This Space demonstrates the educational model built in Chapter 6 of the book. | |
| It's designed to help you: | |
| - Understand NER concepts | |
| - Follow along with the book | |
| - Test your implementation | |
| - Learn healthcare NLP | |
| ## 📚 Book Integration | |
| 1. Read Chapters 4, 5 and 6 | |
| 2. Build the model step-by-step | |
| 3. Compare with this demo | |
| 4. Understand key concepts | |
| ## 🚫 Not for Production | |
| This educational version is not suitable for: | |
| - Clinical use | |
| - Production systems | |
| - Commercial applications | |
| - Medical decisions | |
| ## 💡 Ready for Production? | |
| Our commercial solutions offer: | |
| - Custom model training | |
| - Production deployment | |
| - Security compliance | |
| - Enterprise support | |
| [Contact for Commercial Solutions](https://typica.ai/) |