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ner-bert-app
prasannabadiger7/ner-bert-app
ner-bert-app is a machine learning model from prasannabadiger7. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a web-based Named Entity Recognition (NER) tool powered by a fine-tuned BERT model, built using PyTorch, Hugging Face Transformers, and Streamlit.
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Public
Updated Jun 12, 2025
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431 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 12, 2025
- SHA
- 3314f155
Base models
Datasets
Model card
From the Hugging Face model README
🧠 Named Entity Recognition (NER) with BERT
This is a web-based Named Entity Recognition (NER) tool powered by a fine-tuned BERT model, built using PyTorch, Hugging Face Transformers, and Streamlit.
🚀 Demo
Try the live app :
👉 Coming soon...
📌 Features
- 🔎 Extracts and highlights entities in raw text (PER, LOC, ORG, etc.)
- 💬 Clean and interactive Streamlit UI
- 🧠 Fine-tuned on the CoNLL-2003 dataset
- ☁️ Deployable via Streamlit Cloud or Hugging Face Spaces
📁 Project Structure
ner-bert-app/
│
├── app.py # Streamlit frontend
├── ner_model/ # Saved model & tokenizer
├── requirements.txt # Dependencies
└── README.md
🧠 Model
Fine-tuned bert-base-cased on the CoNLL-2003 dataset using Hugging Face Transformers and Datasets.
📦 Dependencies
streamlittransformerstorch
Install all with:
pip install -r requirements.txt
📸 Example
🧑💻 Author
Made with ❤️ by Prasanna
📜 License
MIT License
- License
- mit
- Languages
- en
- Created
- Jun 11, 2025
- Updated
- Jun 12, 2025