huggingtweets/nasa

The model is based on a pre-trained GPT-2 which is fine-tuned on @nasa'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 . The model suffers from the same limitations and bias as the GPT 2 model, and 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 it is logged at every point of the model's final versioned . For more details, visit the project repository. The model was built by Boris Dayma and was created by,