Named Entity Recognition (NER) Project

This project implements a Named Entity Recognition (NER) system using pre-trained models from the Hugging Face transformers library. The goal is to facilitate the identification and classification of named entities in text, such as people, organizations, locations, and other specific terms.

Installation

To get started, ensure you have Python installed on your machine. Then, install the required packages using pip:

pip install -r requirements.txt

Train

Download and Save the Dataset

Run the script to create a local copy of the dataset.

python data/download_data.py

Run the train.py

python src/train.py

Inference

You can use this command:

python app.py

After executing the command above, you will be able to perform inference directly through a web interface.