huggingtweets/adjacentgrace

The model is based on a pre-trained GPT-2 which is fine-tuned on @adjacentgrace'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='huggingtweets/adjacentGrace') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream))" model('My dream was") model='Huggedtweet. (HUGG) Model="HUGgTweet") Model="GPT,