๐Ÿค– AI CYBORG ๐Ÿค–
โ™ ๏ธ Jenny Snowbunny โ™ ๏ธ & ๐Ÿ‡น๐Ÿ‡ญ๐Ÿ‘ธ๐Ÿฝโ™ ๏ธ Thai Queen of Spades โ™ ๏ธ๐Ÿ‘ธ๐Ÿฝ๐Ÿ‡น๐Ÿ‡ญ 7.25K & Cuckold DNA
@cuckolddna-jennyyoyo92-thaiqos

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.

pipeline

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

Training data

The model was trained on tweets from โ™ ๏ธ Jenny Snowbunny โ™ ๏ธ & ๐Ÿ‡น๐Ÿ‡ญ๐Ÿ‘ธ๐Ÿฝโ™ ๏ธ Thai Queen of Spades โ™ ๏ธ๐Ÿ‘ธ๐Ÿฝ๐Ÿ‡น๐Ÿ‡ญ 7.25K & Cuckold DNA.

Data โ™ ๏ธ Jenny Snowbunny โ™ ๏ธ ๐Ÿ‡น๐Ÿ‡ญ๐Ÿ‘ธ๐Ÿฝโ™ ๏ธ Thai Queen of Spades โ™ ๏ธ๐Ÿ‘ธ๐Ÿฝ๐Ÿ‡น๐Ÿ‡ญ 7.25K Cuckold DNA
Tweets downloaded 222 639 2928
Retweets 33 247 1607
Short tweets 64 37 108
Tweets kept 125 355 1213

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 @cuckolddna-jennyyoyo92-thaiqos'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/cuckolddna-jennyyoyo92-thaiqos')
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

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For more details, visit the project repository.

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