huggingtweets/dawnieedreams

The model is based on a pre-trained GPT-2 which is fine-tuned on @dawnieedreams's tweets . The data is tracked with W&B artifacts at every step of the training procedure . The model uses the following pipeline to generate text using the model . The final model is logged and versioned at the end of training, and the model is versioned . You can use this model directly with a pipeline for text generation: transformers import pipeline('text-generation') model='huggingtweets/ dawniee. (My dream is), num_return_sequences=5) model="Hugingtwe,