huggingtweets/jardininfo

The model is based on a pre-trained GPT-2 which is fine-tuned on @jardininfo'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 that of the GPT 2 model . For more details, visit the project repository. The model was built by Boris Dayma . The final model is logged and versioned at the end of training, the model is log-in-place . The bot is created with huggingtweets.com and is available to create your own bot with the demo .,