# huggingtweets /ak92501-cafe_orbitinnit-ihatesinglets

🤖 AI CYBORG 🤖
✨たち Tommy’s an Orbit 🌙 たち✨ & everyone in the system this isn’t normal & AK
@ak92501-cafe_orbitinnit-ihatesinglets

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

## 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 ✨たち Tommy’s an Orbit 🌙 たち✨ & everyone in the system this isn’t normal & AK.

Data ✨たち Tommy’s an Orbit 🌙 たち✨ everyone in the system this isn’t normal AK
Retweets 1350 78 403
Short tweets 323 352 464
Tweets kept 583 721 2383

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 @ak92501-cafe_orbitinnit-ihatesinglets'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.

## How to use

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

from transformers import pipeline
generator = pipeline('text-generation',
model='huggingtweets/ak92501-cafe_orbitinnit-ihatesinglets')
generator("My dream is", num_return_sequences=5)


## 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.