huggingtweets/charlieykim

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