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## Model Details
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[](https://arxiv.org/abs/2404.12342)
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This model represent a [Chain-of-Thought tuned verson](https://arxiv.org/pdf/2305.11255) Flan-T5 on Target Sentiment Analysis (TSA) task, using training data of [RuSentNE-2023 collection](https://github.com/dialogue-evaluation/RuSentNE-evaluation).
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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]**.
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## Uses
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### Direct Use
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## Model Details
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[](https://arxiv.org/abs/2404.12342)
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> **Update February 23 2025:** 🔥 **BATCHING MODE SUPPORT**.
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See 🌌 [Flan-T5 provider](https://github.com/nicolay-r/nlp-thirdgate/blob/master/llm/transformers_flan_t5.py)
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for [bulk-chain](https://github.com/nicolay-r/bulk-chain) project.
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Test [is available here](https://github.com/nicolay-r/bulk-chain/blob/master/test/test_provider_batching.py)
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This model represent a [Chain-of-Thought tuned verson](https://arxiv.org/pdf/2305.11255) Flan-T5 on Target Sentiment Analysis (TSA) task, using training data of [RuSentNE-2023 collection](https://github.com/dialogue-evaluation/RuSentNE-evaluation).
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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]**.
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## Uses
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### Direct Use
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