huggingtweets/digitalsolver1

The model is based on a pre-trained GPT-2 which is fine-tuned on @digitalsolver1'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/digitalsol1') model="My dream is", num_return_sequences=5" Model was trained on the user's tweets, and the data present in the tweets further affects the text generated by the model . The model suffers from the same limitations and bias as the model as GPT,