huggingtweets/neuro_stack

The model is based on a pre-trained GPT-2 which is fine-tuned on @neuro_stack'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/neuro-stack') model="My dream is", num_return_sequences=5" model="Hugging_Tweets. (My dream)" model='My dream' model="my dream is") model="hugged_tweet. (Hugged),