expertai/SLIMER-PARALLEL-LLaMA3

SLIMER is an LLM specifically instructed for zero-shot NER on English language. This LLaMA-3 based SLIMER scores +17 % over paper’s original SLIMER LLaMA-2, while allowing up to 16 NEs to be extracted in parallel per prompt. GitHub repository: https://github.com/andrewzamai/SLIMER/tree/v2.0 SLIMER for Italian language can be found at: https://huggingface.co/expertai/LLaMAntino-3-SLIMER-IT Instructed on a reduced number of samples, it is designed to tackle never-seen-before Named Entity tags by leveraging a prompt enriched with a DEFINITION and GUIDELINES for the NEs to be extracted. INVALID LANGUAGE PAIR SPECIFIED. EXAMPLE: LANGPAIR=EN|IT USING 2 LETTER ISO OR RFC3066 LIKE ZH-CN. ALMOST ALL LANGUAGES SUPPORTED BUT SOME MAY HAVE NO CONTENT

Модальности:
Генерация текста

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Задача: Генерация текста
Автор: expertai
Теги: llama, zero-shot NER, NER, conversational, en
Лайков: 4  |  Загрузок: 17

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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.