---
title: Persian NER
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
---

# Persian Named Entity Recognition (NER)

This space performs Named Entity Recognition on Persian (Farsi) text using the ParsBERT model.

## Features
- Identifies person names, organizations, locations, dates, times, money, and percentages
- Highlights entities with color-coding
- Runs on CPU (no GPU required)
- Provides confidence scores for each detected entity

## Model
- **Model**: HooshvareLab/bert-base-parsbert-ner-uncased
- **Framework**: Transformers + PyTorch
- **Language**: Persian (Farsi)

## Usage
Simply enter Persian text in the input box and click "Analyze Text" to see the detected entities highlighted in the text.

## Entity Types
- **PER** (شخص): Person names
- **ORG** (سازمان): Organizations
- **LOC** (مکان): Locations
- **DAT** (تاریخ): Dates
- **TIM** (زمان): Times
- **MON** (پول): Money amounts
- **PCT** (درصد): Percentages

## Citation
```bibtex
@article{ParsBERT,
  title={ParsBERT: Transformer-based Model for Persian Language Understanding},
  author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.12515}
}
```