huggingtweets/shallydarte

The model is based on a pre-trained GPT-2 which is fine-tuned on @shallydarte'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/shally darte' The model suffers from the same limitations and bias as that of the model, but the data present in the user's tweets further affects the text generated by the model . The final model is logged and versioned at the end of training, and the model is versioned . For more details, visit the project repository,