Create your own bot based on your favorite user with the demo! To understand how the model was developed, check the W&B report. Explore the data, which is tracked with W&B artifacts at every step of the pipeline. The model is based on a pre-trained GPT-2 which is fine-tuned on @neural_meduza’s tweets. Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility. At the end of training, the final model is logged and versioned. You can use this model directly with a pipeline for text generation: The model suffers from the same limitations and bias as GPT-2. In addition, the data present in the user’s tweets further affects the text generated by the model.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: huggingtweets
Теги: gpt2, huggingtweets, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
