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  - transformers
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  ---
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- # hku-nlp/instructor-base
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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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  ---
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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.