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- transformers
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# hku-nlp/instructor-
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This is a general embedding model: It maps sentences & paragraphs to a 768 dimensional dense vector space.
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The model was trained on diverse tasks.
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It takes customized instructions and text inputs, and generates task-specific embeddings for general purposes, e.g., information retrieval, classification, clustering, etc.
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- transformers
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# hku-nlp/instructor-xl
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This is a general embedding model: It maps sentences & paragraphs to a 768 dimensional dense vector space.
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The model was trained on diverse tasks.
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It takes customized instructions and text inputs, and generates task-specific embeddings for general purposes, e.g., information retrieval, classification, clustering, etc.
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