kuxall / prodigy-ner

Prodigy

Radically efficient machine teaching, An annotation tool powered by active learning. FROM THE MAKERS OF SPACY

Installation of Python

Download Python 3.10 from here Check Python Version python --version

Virtual Environment Installation

py -m pip install --user virtualenv
python3.10 -m venv .venv

Activate:

In windows: .venv\Scripts\activate
In Linux: source .venv/bin/activate

Prodigy Installation

From Wheel file

pip install prodigy -f /path/to/wheels

If problems occurs while installing, try this

please visit: '/home/kushal/Documents/spacyprodigy/solutions/solutions.md'

For more info, Please Visit: Prodigy Installation

The NER Model is Updated Daily!! Please use the Updated Model while resuming the task from the next day. Model is updated on Dropbox and permission is given to you to use it. Thank You