huggingtweets/petersinger

The model is based on a pre-trained GPT-2 which is fine-tuned on @petersinger's tweets . The data is tracked with W&B artifacts at every step of the pipeline . The model suffers from the same limitations and bias as GPT 2 . The final model is logged and versioned at the end of the training . You can use this model directly with a pipeline for text generation: pipeline('text-generation', model('My dream is) model="Huggingtweets/Petersinger') The model was trained on the user's tweets. The data present in the tweets further affects the text generated by the model. For more details,,