The model was trained on tweets from Mistress Vivienne l’Amour - Serve me on Onlyfans! & Goddess Alexandra Snow 🌟 V4M Creator of the Year & 𝐌𝐢𝐬𝐭𝐫𝐞𝐬𝐬 𝐋𝐨𝐥𝐢𝐭𝐚 𝐇𝐮𝐬𝐡.

Data	Mistress Vivienne l’Amour - Serve me on Onlyfans!	Goddess Alexandra Snow 🌟 V4M Creator of the Year	𝐌𝐢𝐬𝐭𝐫𝐞𝐬𝐬 𝐋𝐨𝐥𝐢𝐭𝐚 𝐇𝐮𝐬𝐡
Tweets downloaded	3207	3223	2186
Retweets	781	435	301
Short tweets	268	206	426
Tweets kept	2158	2582	1459

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 @dominasnow-kinkyfetishviv-mistresslhush'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:

python

from transformers import pipeline
generator = pipeline('text-generation',
                     model='huggingtweets/dominasnow-kinkyfetishviv-mistresslhush')
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.

About

Built by Boris Dayma

For more details, visit the project repository.