This is a named entity recognizer for goods and brands extraction from receipts of fiscal data operators in Russian. It was developed for the special multi-staged competition devoted to receipt structurization. This competition was organized by Open Data Science community and Alpha Bank, and it was consisted of the first, the second and the final stage. But this model can be used for any receipt parsing and structurization in Russian. The repository with code for fine-tuning and inference is available on gitflic.ru.
Модальности:
Генерация текста
Задача: Генерация текста
Автор: bond005
Теги: t5, text2text-generation, russian, text-to-text, PyTorch, Transformers, ru, text-generation-inference
Лайков: 2 | Загрузок: 10
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
