This model is pre-trained with the causal language modelling objective on a private dataset with web scraped content created at the Bulgarian Academy of Sciences under the ClaDa-BG Project. The dataset is cleaned and balanced with a specialized procedure to avoid gender, cultural, political, racial and other biases. The procedure is described in the paper dedicated to this model- coming soon! The model is a part from a series of Large Language Models for Bulgarian. — Developed by: Iva Marinova — Shared by [optional]: ClaDa-BG, : National Interdisciplinary Research E-Infrastructure for Bulgarian Language and Cultural Heritage Resources and Technologies integrated within European CLARIN and DARIAH infrastructures — Model type: GPT-2 — Language(s) (NLP): Bulgarian — License: [More Information Needed] — Finetuned from model [optional]: [More Information Needed] — Repository: [More Information Needed] — Paper [optional]: Marinova et. al. 2023 — link to be added — Demo [optional]: [More Information Needed] The model is trained on the causal language modeling objective and can be used to generate content based on textual input. It can be further finetuned for specific NLP tasks in the…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: usmiva
Теги: gpt2, bg, text-generation-inference, endpoints_compatible
Лайков: 2 | Загрузок: 37
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
