Skip to content

Latest commit

 

History

History
53 lines (34 loc) · 2.63 KB

README.md

File metadata and controls

53 lines (34 loc) · 2.63 KB

Paraphrase With Transformer

deep

DESCRIPTION OVERVIEW

deep Paraphrase generation is the task of generating an output sentence that preserves the meaning of the input sentence with variations in word choice and grammar.

Paraphrasing can be used to aid comprehension, stimulate prior knowledge, and assist in writing-skills development.

Paraphrasing text can facilitate reading comprehension by transforming the text into a more familiar, and in the field of composition, allow writers to restate ideas from other works or their own drafts so that the reformatted language may better suit a voice, flow, or line of argument.

TECHNOLOGY USE

deep Here we will be using Anaconda Python 3.6 , Pytorch 1.4 with GPU support CUDA 10 with CuDNN 10.simpletransformers==0.60.9,

INSTALLATION

deep Installation of this project is pretty easy. Please do follow the following steps to create a virtual environment and then install the necessary packages in the following environment.

In Pycharm it’s easy

  1. Create a new project.
  2. Navigate to the directory of the project
  3. Select the option to create a new new virtual environment using conda with python3.6
  4. Finally create the project using used resources.
  5. After the project has been created, install the necessary packages from requirements.txt file using the command pip install -r requirements.txt

In Conda also it’s easy

  1. Create a new virtual environment using the command conda create -n your_env_name python=3.6
  2. Navigate to the project directory.
  3. Install the necessary packages from requirements.txt file using the command
    pip install -r requirements.txt

WORKFLOW DIAGRAM

deep

Download Link & Reference

deep

  • Drive
  • Time- 13-March-22,00:30:26