huggingtweets/fkuhlmeier

The model is based on a pre-trained GPT-2 which is fine-tuned on @fkuhlmeier'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/fkahlmeier') model="My dream is", num_return_sequences=5" Model was trained on GPT2 and the data present in the tweets further affects the text generated by the model . The model suffers from the same limitations and bias as GPT 2 . For more details, visit the project repository,