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This repository contains the code and model weights for GPT-2, a large-scale unsupervised language model described in the OpenAI paper “Language Models are Unsupervised Multitask Learners.” The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena. The repository includes scripts for sampling, training, downloading pre-trained models, and utilities for tokenization and model handling.
Features
- Pretrained model weights for multiple GPT-2 sizes (e.g. 117M, 345M, up to 1.5B parameters)
- Sampling / generation scripts (conditional, unconditional, interactive)
- Tokenizer and encoding / decoding utilities
- Training / fine-tuning script support (for smaller models)
- Support for memory-saving gradient techniques / optimizations during training
- Utilities to download / manage model checkpoints via script
Project Samples
Categories
Artificial IntelligenceLicense
MIT LicenseFollow GPT-2
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