The Taigi-Llama-2-Translator series are built based on the Taigi-Llama-2 series model. We conducted fine-tuning on 263k parallel data to create a translation model for Taiwanese Hokkien and related languages. For more details, please refer to our GitHub repository and the paper: Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems Explore other models and datasets in the Taiwanese Hokkien LLM collection. — Base Model: Bohanlu/Taigi-Llama-2-7B — Usage: This model can be used for translating between Traditional Chinese or English and Taiwanese Hokkien (Hanzi, POJ, or Hanlo). It also supports translation between different scripts of Taiwanese Hokkien (Hanzi, POJ, Hanlo). — Language(s) (NLP): Taiwanese Hokkien (Hanzi, POJ and Hanlo), Traditional Chinese and English — Input: Text in source language — Output: Text in target language — Model Size: 7B parameters — sourcesentence: The sentence you want to translate. — targetlanguage: The target language you want to translate to. Use «ZH» for Traditional Chinese, «EN» for English, «POJ» for Taiwanese Hokkien POJ, «HL» for Taiwanese Hokkien Hanlo, and «HAN» for Taiwanese Hokkien Hanzi. — Ensure…
Модальности:
Генерация текста
Задача: Генерация текста
Автор: Bohanlu
Теги: llama, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 598
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
