huggingtweets/nknewsorg

The model is based on a pre-trained GPT-2 which is fine-tuned on @nknewsorg'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/nk newsorg') model="My dream is", num_return_sequences=5" model="HuggingTweets. (My dream)" model="GPT_2") model="gpt_2", model('GPT-3') model('Model('Hug,