huggingtweets/elypinerat-honkaistarrail-unreal_dreamer
<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/profileimages/1645701009203769345/dwPzDzdE400x400.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/profileimages/1605466536843612160/4mla9y6n400x400.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/profileimages/1648507729680678916/Ix3OMqnO400x400.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">Unreal Dreamer & Honkai: Star Rail & 🚂Milo ✧ Cecilia ✧ Nikki✨</div> <div style="text-align: center; font-size: 14px;">@elypinerat-honkaistarrail-unreal_dreamer</div> </div>
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 Unreal Dreamer & Honkai: Star Rail & 🚂Milo ✧ Cecilia ✧ Nikki✨.
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 @elypinerat-honkaistarrail-unreal_dreamer'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/elypinerat-honkaistarrail-unreal_dreamer')
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.
