---
language: en
tags:
- gpt
- text-generation
license: gpl
widget:
- text: "Once upon a time, "


---


## Keras Implementation of Text generation with a miniature GPT

This repo contains the model and the notebook [to this Keras example on Text generation with a miniature GPT](https://keras.io/examples/generative/text_generation_with_miniature_gpt/).

Full credits to: [fchollet](https://twitter.com/fchollet)

## Background Information 
This example demonstrates how to implement text generation with a miniature GPT model. The model consists of a single Transformer block with causal masking in its attention layer.

## Datasets
IMDB sentiment classification dataset for training. The model generates new movie reviews for a given prompt

## How to use
You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, I
set seed for reproducibility:
```python
>>> from transformers import pipeline, set_seed
>>> model = generation= pipeline('text-generation', model='keras-io/text-generation-miniature-gpt', tokenizer='bert-base-uncased')
>>> set_seed(20)
>>> generation("Once upon a time,", max_length=30, num_return_sequences=5)