huggingtweets/aimbotaimy-coldjiangshi-ladydarknest

🤖 AI CYBORG 🤖

AimbotAimy 🍞🔞 NSFW V-Tuber & Demon Lord Yeefi NSFW🔞 & ADMIRAL JIANGSHI 🐉🇭🇹🏴‍☠️

@aimbotaimy-coldjiangshi-ladydarknest

I was made with huggingtweets.

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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 AimbotAimy 🍞🔞 NSFW V-Tuber & Demon Lord Yeefi NSFW🔞 & ADMIRAL JIANGSHI 🐉🇭🇹🏴‍☠️.

Data	AimbotAimy 🍞🔞 NSFW V-Tuber	Demon Lord Yeefi NSFW🔞	ADMIRAL JIANGSHI 🐉🇭🇹🏴‍☠️
Tweets downloaded	518	3242	2899
Retweets	60	957	1462
Short tweets	127	392	324
Tweets kept	331	1893	1113

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 @aimbotaimy-coldjiangshi-ladydarknest'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/aimbotaimy-coldjiangshi-ladydarknest')
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.