Ironico

🚀 HuggingTweets AI Bot

This project creates an AI bot that can generate tweets in the style of a specific user. It uses the HuggingTweets framework, leveraging a pre - trained GPT - 2 model fine - tuned on user - specific tweet data.

🚀 Quick Start

I was made with huggingtweets.

Create your own bot based on your favorite user with the demo!

✨ Features

The model uses the following pipeline.

To understand how the model was developed, check the W&B report.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

You can use this model directly with a pipeline for text generation:

from transformers import pipeline
generator = pipeline('text-generation',
                     model='huggingtweets/ironico')
generator("My dream is", num_return_sequences=5)

📚 Documentation

Training data

The model was trained on tweets from Gennaro Varriale.

Explore the data, which is tracked with W&B artifacts at every step of the pipeline.

Training procedure

The model is based on a pre - trained GPT - 2 which is fine - tuned on @ironico's tweets.

Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility.

At the end of training, the final model is logged and versioned.

Limitations and bias

The model suffers from the same limitations and bias as GPT - 2.

In addition, the data present in the user's tweets further affects the text generated by the model.

🔧 Technical Details

Not provided in the original document.

📄 License

Not provided in the original document.

About

Built by Boris Dayma

For more details, visit the project repository.