Enter your abstract into the little doohicky here, and quicker'n you can blink your eyes1, a shiny new paper'll come right out for ya! What are you waiting for? Click the "doohicky" link above to get started, and then click the link to open the demo notebook in Google Colaboratory. To run the demo as a Jupyter notebook (e.g., locally), use this version instead. Note: to compile a PDF of your auto-generated paper (when you run the demo locally), you'll need to have a working LaTeX installation on your machine (e.g., so that pdflatex is a recognized system command). The notebook will also automatically install the transformers library if it's not already available in your local environment. In its unmodified state, the demo notebooks use the abstract from the GPT-3 paper as the "seed" for a new paper. Each time you run the notebook you'll get a new result.

Features

  • The solution to your writer's block
  • In its unmodified state, the demo notebooks use the abstract from the GPT-3 paper
  • Each time you run the notebook you'll get a new result
  • Uses the Hugging Face implementation of GPT-Neo
  • The text you input is used as a prompt for GPT-Neo
  • The model simply "predicts" the next n words that will come after the specified prompt

Project Samples

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License

MIT License

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Registered

2023-03-23