huggingtweets/clikehouse

The model is based on a pre-trained GPT-2 which is fine-tuned on @clikehouse'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/Clikehouse') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream)" model('My dream was) is "My Dream is," num_response-sequences(5) model="GPT2('My Dream was") model('GPT-,