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# hku-nlp/instructor-large
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This is a general embedding model: It maps **any** piece of text (e.g., a title, a sentence, a document, etc.) to a fixed-length vector in test time without further training. With instructions, the embeddings are **domain-specific** (e.g., specialized for science, finance, etc.) and task-aware (e.g., customized for classification, information retrieval, etc.)
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The model is easy to use with `
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## Installation
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```bash
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# hku-nlp/instructor-large
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This is a general embedding model: It maps **any** piece of text (e.g., a title, a sentence, a document, etc.) to a fixed-length vector in test time without further training. With instructions, the embeddings are **domain-specific** (e.g., specialized for science, finance, etc.) and task-aware (e.g., customized for classification, information retrieval, etc.)
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The model is easy to use with `sentence-transformer` library.
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## Installation
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```bash
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