This repository contains a NER model based on SpaCy's existing model. The code included in this repository is made by Team ABCD.
- Run the installation of the dependencies by using conda's pip module. You can install this by running
conda install pip
in your anaconda prompt. - Install the dependencies from the
requirements.txt
file by using the commandpip install -r requirements.txt
- After installing the required dependencies. You can now use the testing notebook for the model. This notebook can be found at
/src/test_model.ipynb
- Re-training the model is easy. By using the
training.ipynb
notebook, you can provide your own set of training data to be considered. - If necessary, you can provide your own SpaCy configuration file to be used. For more information check out (SpaCy's Documentation Training Pipeline & Models)[https://spacy.io/usage/training/]
Visit our (GitHub Repository)[https://github.com/ABCD-EDU/cs321-NER] for more information.