README.md

metadata

title: Named Entity Recognition
emoji: 🏷️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.4.0
app_file: app.py
pinned: false
license: mit

Named Entity Recognition with BERT

This application performs Named Entity Recognition (NER) using a fine-tuned BERT model.

Model Details

• Base Model: bert-base-cased
• Fine-tuned on: CoNLL-2003 dataset
• Task: Token Classification (NER)
• Labels: PER, ORG, LOC, MISC

Performance

• F1 Score: 0.XX
• Precision: 0.XX
• Recall: 0.XX

Usage

Simply enter text in the input box and click "Analyze" to extract named entities.

Examples

Try these examples:

• "Apple CEO Tim Cook announced new products in California."
• "The United Nations is headquartered in New York City."

Technical Stack

• Transformers
• PyTorch
• Gradio
• Hugging Face Spaces

Model Repository

The fine-tuned model is available at: YOUR-USERNAME/bert-finetuned-ner

Author

[Your Name] - [Your LinkedIn] - [Your GitHub]