huggingtweets/lavendersheeps

The model is based on a pre-trained GPT-2 which is fine-tuned on @lavendersheeps's tweets . The data is tracked with W&B artifacts at every step of the pipeline . You can use this model directly with a pipeline for text generation: pipeline('text-generation') model='huggingtweets/lavenderheeps') model="HuggingTweets. (My dream is) model="My Dream is", num_return_sequences=5) The model suffers from the same limitations and bias as that of the model, and the data present in the user's tweets further affects the text generated by the model .,