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README.md
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# Introduction
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`mdbr-leaf-mt` is a compact high-performance text embedding model designed for classification, clustering, semantic sentence similarity and summarization tasks.
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# Evaluation
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The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-mt/commit/
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# Citation
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# Content
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1. [Introduction](#introduction)
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2. [Technical Report](#technical-report)
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3. [Highlights](#highlights)
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4. [Quickstart](#quickstart)
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5. [Citation](#citation)
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# Introduction
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`mdbr-leaf-mt` is a compact high-performance text embedding model designed for classification, clustering, semantic sentence similarity and summarization tasks.
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# Evaluation
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The checkpoint used to produce the scores presented in the paper [is here](https://huggingface.co/MongoDB/mdbr-leaf-mt/commit/c342f945a6855346bd5f48d5ee8b7e39120b0ce9).
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# Citation
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