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Update README.md

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  A really tiny sentence reranker (models use only 120mb) that runs almost instantly on cpu.
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- Trained using a mix of embeddings from wordllama and hashingvectorizer, on a dataset based on msmarco.
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  * pip install nanoranker
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  A really tiny sentence reranker (models use only 120mb) that runs almost instantly on cpu.
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+ Trained using a mix of embeddings from universal-sentence-encoder and hashingvectorizer, on a dataset based on msmarco.
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  * pip install nanoranker
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