huggingtweets/liampayne

The model is based on a pre-trained GPT-2 which is fine-tuned on @liampayne'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/liampay') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream was))" model="my dream is," num_response_sequence=5) model="huggedtweet. (Liam),