huggingtweets/avrillavigne

The model is based on a pre-trained GPT-2 which is fine-tuned on @avrillavigne'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/avillavigne') model="My dream is", num_return_sequences="5" model="HuggingTweets. (My dream))" model('My Dream is) is a model that suffers from the same limitations and bias as GPT2 . The model was trained on the user's tweets. The,