Luisinhobr Beckvencido

🚀 HuggingTweets Bot

This project uses HuggingTweets to create an AI bot that generates tweets based on specific users. It provides a simple way to generate text similar to the style of your favorite Twitter users.

🚀 Quick Start

I was made with huggingtweets.

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

✨ Features

How does it work?

The model uses the following pipeline.

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

Training data

The model was trained on tweets from agrummgit ag😜 & luisfer nando.

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 @_luisinhobr-beckvencido'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.

💻 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/_luisinhobr-beckvencido')
generator("My dream is", num_return_sequences=5)

🔧 Technical Details

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.

📄 About

Built by Boris Dayma

For more details, visit the project repository.