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Femdom Fusion & 💞 M.Francesca ⛔️No porn🚫 & Mistress Leia

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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 Femdom Fusion & 💞 M.Francesca ⛔️No porn🚫 & Mistress Leia.

Data Femdom Fusion 💞 M.Francesca ⛔️No porn🚫 Mistress Leia
Tweets downloaded 3248 3222 3249
Retweets 0 2204 663
Short tweets 355 168 367
Tweets kept 2893 850 2219

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 @dolceragazza26-femdomfusion-mistressleiaa'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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