> Update February 23 2025: 🔥 BATCHING MODE SUPPORT. See 🌌 Flan-T5 provider for bulk-chain project. Test is available here This model represent a Chain-of-Thought tuned verson Flan-T5 on Target Sentiment Analysis (TSA) task, using training data of RuSentNE-2023 collection. This model is designed for texts written in English. Since the original collection reprsent non-english texts, the content has been automatically translated into English using [googletrans]. For the given input sentence and mentioned entity in it (target), this model predict author state by answering one of the following classes: [positive, negaitive, neutral] — Developed by: Reforged by nicolay-r, initial credits for implementation to scofield7419 — Model type: Flan-T5 — Language(s) (NLP): English — License: Apache License 2.0 — Repository: Reasoning-for-Sentiment-Analysis-Framework — Paper: https://arxiv.org/abs/2404.12342 — Demo: We have a code on Google-Colab Here are the following three steps for a quick start with model application: The response of the model is as follows: >…
Модальности:
Генерация текста
Области применения:
Логика и рассуждение
Задача: Генерация текста
Автор: nicolay-r
Теги: t5, text2text-generation, sentiment-analysis, target-sentiment-analysis, reasoning, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 25
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
