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.
The model was trained on @_buddha_quotes's tweets.
Explore the data, which is tracked with W&B artifacts at every step of the pipeline.
The model is based on a pre-trained GPT-2 which is fine-tuned on @_buddha_quotes'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.
Intended uses & limitations
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/_buddha_quotes') 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.
Built by Boris Dayma
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