Metadata-Version: 2.1
Name: smaberta
Version: 0.0.1
Summary: a wrapper for the huggingface transformer libraries
Home-page: https://github.com/SMAPPNYU/SMaBERTa.git
Author: Vishakh Padmakumar, Zhanna Terechshenko
License: MIT
Description: # SMaBERTa
        This repository contains the code for SMaBERTa, a wrapper for the huggingface transformer libraries.
        It was developed by Zhanna Terechshenko and Vishakh Padmakumar through research at the Center for 
        Social Media and Politics at NYU.
        
        ## Setup
        
        To download the repository, run 
        
        ```
        git clone https://github.com/SMAPPNYU/SMaBERTa.git
        ```
        
        To install the dependencies for this repo, run
        ```
        cd SMaBERTa
        pip install -r requirements.txt
        python setup.py install
        ```
        
        ## Repository Contents
        
        smaberta.py - main file.
        
        For the example on how to use the model for the classification task follow Tutorial.ipynb.
        
        For language model finetuning follow test_finetuning.py.
        
        # Acknowledgements 
        
        Code for this project was adapted from version 0.6 of https://github.com/ThilinaRajapakse/simpletransformers
        
        Zhanna Terechshenko and Vishakh Padmakumar contributed to the software writing, implementation, and testing.
        
        Megan Brown contributed to documentation and publication.
Keywords: nlp transformers classification text-classification fine-tuning
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
