🤖 AI CYBORG 🤖
Craig Wright Quotes & iang & Dorian Nakamoto
@drwrightquotes-iang_fc-s__nakamoto

I was made with huggingtweets.

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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 Craig Wright Quotes & iang & Dorian Nakamoto.

Data Craig Wright Quotes iang Dorian Nakamoto
Tweets downloaded 327 3155 3166
Retweets 0 1307 1413
Short tweets 71 59 650
Tweets kept 256 1789 1103

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 @drwrightquotes-iang_fc-s__nakamoto'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/drwrightquotes-iang_fc-s__nakamoto')
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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