huggingtweets/14jun1995

The model is based on a pre-trained GPT-2 which is fine-tuned on @14jun1995'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('My dream is) model="huggingtweets/14Jun1995') model="My dream is", num_return_sequences=5" Model was trained on the same limitations and bias as GPT2 . The final model is logged and versioned at the end of training, and it is logged to ensure reproducibility . For more details,,