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title: GPT-2 rumblings | |
emoji: 🤖 | |
colorFrom: blue | |
colorTo: red | |
sdk: gradio | |
sdk_version: 3.14.0 | |
app_file: app.py | |
pinned: false | |
tags: | |
- gpt-2 rumblings | |
 | |
## Demo | |
Here is a link to Huggingface's demo of the GPT-2 rumblings model. | |
[https://huggingface.co/spaces/codebender/gpt-2-rumblings](https://huggingface.co/spaces/codebender/gpt-2-rumblings) | |
# AI Text Generation | |
This repository contains jupyter notebooks and python scripts that demo the training of a GPT model and the generation of text using the trained model. | |
## What is GPT? | |
GPT is a language model that is trained on a large corpus of text. It is a deep learning model that is trained using a technique called backpropagation. GPT in full is Generative Pre-trained Transformer. | |
GPT has a lot of real-world applications and it can accelerate workflows of different kinds. | |
In summary, imagine an AI model that generates new text based on a given text. This is what GPT does. | |
## GPT Model Generation | |
This is full of experiments that are based of aitextgen Python package. | |
## How to run | |
1. Clone the repository | |
2. Create a virtual environment using pipenv | |
3. Install the dependencies using pipenv | |
4. Run the jupyter notebooks in the `notebooks` folder | |
To run the demos, simply run the python scripts after installing the dependencies. | |
## GPT Model Training | |
Different notebooks are used for different experiments. | |