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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. | |