huggingtweets/paharnic

The model is based on a pre-trained GPT-2 which is fine-tuned on @paharnic'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 GPT2 model . The final model is logged and versioned at the end of training . The bot was built by Boris Dayma and is available to create your own bot based on your favorite user with the demo . For more details, visit the project repository. The bot is available now to download and use in the next week's version of this article,