huggingtweets/history

The model is based on a pre-trained GPT-2 which is fine-tuned on @history's tweets . Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility . The model suffers from the same limitations and bias as the model . The data present in the user's tweets further affects the text generated by the model. The model uses the following pipeline: pipeline('text-generation', model='huggingtweets/history') pipeline('My dream is', num_return_sequences=5) Pipeline is used directly with a pipeline for text generation. The data is tracked at every step of the pipeline. The,