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Sinner & Hσɳҽყ & Anthropos & VacuumF

I was made with huggingtweets.

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 Sinner & Hσɳҽყ & Anthropos & VacuumF.

Data Sinner Hσɳҽყ Anthropos VacuumF
Tweets downloaded 403 3240 1088 379
Retweets 296 135 376 1
Short tweets 3 734 77 12
Tweets kept 104 2371 635 366

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 @hel_ql-shahdashrf_-sinnerslayerr-witheredstrings'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',
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.


Built by Boris Dayma


For more details, visit the project repository.

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