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+ ---
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+ license: apache-2.0
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+ pipeline_tag: sentence-similarity
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+ ---
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+
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+ Quantized ONNX port of [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) for text classification and similarity searches.
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+
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+ ### Usage
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+
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+ Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
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+
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+ ```py
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+ from fastembed import TextEmbedding
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+
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+ documents = [
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+ "You should stay, study and sprint.",
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+ "History can only prepare us to be surprised yet again.",
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+ ]
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+
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+ model = TextEmbedding(model_name="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")
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+ embeddings = list(model.embed(documents))
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+
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+ # [
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+ # array([1.96449570e-02, 1.60677675e-02, 4.10149433e-02...]),
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+ # array([-1.56669170e-02, -1.66313536e-02, -6.84525725e-03...])
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+ # ]
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+ ```