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Implemented SOTA model for fine tuning our tweet and Reddit data for Prediction of Rumour through SDQC

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Transformers

This repository consists the codes for the implementation of

  • BERT
  • RoBERTa
  • XLnet for training on stance classification task on twitter data.

Setup

  • Install Anaconda or Miniconda Package Manager
  • Create a new virtual environment and install packages.
  • conda create -n transformers python pandas tqdm
  • conda activate transformers
  • conda install -c anaconda scipy
  • conda install -c anaconda scikit-learn
  • pip install transformers
  • pip install tensorboardx
  • Install simpletransformers
  • pip install simpletransformers

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Implemented SOTA model for fine tuning our tweet and Reddit data for Prediction of Rumour through SDQC

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