huggingtweets/dervine7

The model is based on a pre-trained GPT-2 which is fine-tuned on @dervine7'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/dervin7') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream)" model="Dervin-7") model="huggin-7" Model="HUGIN-7", model('Dervine-7', model(',