huggingtweets

<div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1234927574809182209/TTjRcchM_400x400.jpg')"> </div> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1302461614478811137/J8gENyLO_400x400.jpg')"> </div> <div style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1248778001220882432/yDL7saMY_400x400.jpg')"> </div> </div> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI CYBORG 🤖</div> <div style="text-align: center; font-size: 16px; font-weight: 800">MCStoryBot & Look Into My Eyes Boy & 𝐓𝐡𝐞 𝐌𝐞𝐠𝐚𝐥𝐢𝐭𝐡</div> <div style="text-align: center; font-size: 14px;">@lookinmyeyesboy-mcstoryfeed-mono93646057</div> </div>

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 MCStoryBot & Look Into My Eyes Boy & 𝐓𝐡𝐞 𝐌𝐞𝐠𝐚𝐥𝐢𝐭𝐡.

Data MCStoryBot Look Into My Eyes Boy 𝐓𝐡𝐞 𝐌𝐞𝐠𝐚𝐥𝐢𝐭𝐡
Tweets downloaded 3250 3244 3249
Retweets 0 170 39
Short tweets 0 209 15
Tweets kept 3250 2865 3195

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 @lookinmyeyesboy-mcstoryfeed-mono93646057'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/lookinmyeyesboy-mcstoryfeed-mono93646057')
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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