๐Ÿค– AI CYBORG ๐Ÿค–
gnome ๐Ÿ‘ผ๐Ÿป & Ass ๐Ÿ‡ฎ๐Ÿ‡น๐Ÿณ๏ธโ€โšง๏ธ๐Ÿ•๐ŸŽฉ & tyler
@ass420weed-gnomeszs-tyler01010101

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 gnome ๐Ÿ‘ผ๐Ÿป & Ass ๐Ÿ‡ฎ๐Ÿ‡น๐Ÿณ๏ธโ€โšง๏ธ๐Ÿ•๐ŸŽฉ & tyler.

Data gnome ๐Ÿ‘ผ๐Ÿป Ass ๐Ÿ‡ฎ๐Ÿ‡น๐Ÿณ๏ธโ€โšง๏ธ๐Ÿ•๐ŸŽฉ tyler
Tweets downloaded 3220 3193 3238
Retweets 1079 1470 110
Short tweets 438 703 1066
Tweets kept 1703 1020 2062

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 @ass420weed-gnomeszs-tyler01010101'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/ass420weed-gnomeszs-tyler01010101')
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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