GPT-2 PyTorch is a compact educational implementation of OpenAI’s GPT-2 text generator in PyTorch. It uses pretrained weights converted for PyTorch rather than training the language model from scratch. Users can begin generation from a supplied prompt or request unconditional samples. Command-line options control sample count, batch size, output length, temperature, and top-k filtering. The repository includes a runnable Python script, dependency file, and Google Colab notebook for faster experimentation. It is best suited to studying an early Transformer language model and its sampling process rather than building a modern production system.

Features

  • Conditional text generation
  • Unconditional text sampling
  • Temperature-based sampling controls
  • Adjustable top-k filtering
  • Command-line generation interface
  • Google Colab demonstration notebook

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Categories

AI Models

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python AI Models

Registered

2026-07-17