A swedish GPT2 style model trained using Flax CLM pipeline on the Swedish part of the wiki40b dataset. This model is part of a series of models training on TPU with Flax Jax during Huggingface Flax/Jax challenge. https://huggingface.co/flax-community/swe-roberta-wiki-oscar The data was cleaned and preprocessed using the following script. Make sure to install depencies for beam_runner to make the dataset work.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: flax-community
Теги: jax, tensorboard, gpt2, sv, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 134
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.