pytorch jax gpt2 lm-head causal-lm en transformers text-generation pipeline_tag:text-generation
.gitattributes README.md added_tokens.json config.json flax_model.msgpack merges.txt pytorch_model.bin special_tokens_map.json tokenizer_config.json vocab.json
---
language: 
- en
tags:
- gpt2
- text-generation
pipeline_tag: text-generation
widget:
- text: "A person with a high school education gets sent back into the 1600s and tries to explain science and technology to the people. [endprompt]"
- text: "A kid doodling in a math class accidentally creates the world's first functional magic circle in centuries. [endprompt]"
---

# GPT-2 Story Generator

## Model description

Generate a short story from an input prompt.

Put the vocab ` [endprompt]` after your input.

Example of an input:
```
A person with a high school education gets sent back into the 1600s and tries to explain science and technology to the people. [endprompt]
```

#### Limitations and bias

The data we used to train was collected from reddit, so it could be very biased towards young, white, male demographic.

## Training data

The data was collected from scraping reddit.