We fine-tuned the jphme/emgermanleo_mistral with a set of ca. 2000 newspaper articles which have been simplified by the Austrian Press Agency. Our aim was to have a model which can simplify German-language text. — Developed by: Members of the Public Interest AI research group, HIIG Berlin — Model type: simplification model, text generation — Language(s) (NLP): German — License: Apache 2.0 — Finetuned from model: jphme/emgermanleo_mistral This model works best for simplifying German-language newspaper articles (news items, not commentaries or editorials). It may work for other types of texts. We have fine-tuned using only newspaper articles. We have not yet performed extensive out-of-domain testing, but believe that the model’s capabilities could be improved by fine-tuning on more diverse data. Contact us if you have a dataset which you think could work (parallel texts, German standard & German simplified). As with most text generation models, the model sometimes produces information that is incorrect. Please check manually that your output text corresponds to the input text, as factual inconsistencies may have arisen. A sample of the data used to train our model can be found here.…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: hiig-ai-lab
Теги: mistral, german, deutsch, simplification, vereinfachung, conversational, de, text-generation-inference
Лайков: 3 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
