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  # {MODEL_NAME}
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- This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
 
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  <!--- Describe your model here -->
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  # {MODEL_NAME}
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+ This model is a product of the [Sentence-Transformers](https://www.SBERT.net) family. It refines sentences and paragraphs into a sophisticated 768-dimensional vector space. It owes its precision to a fine-tuning process, executed on a dataset comprised of over one hundred thousand rows of pairs of sentences rooted in biblical context, thus able to discern similarities between two sentences talking about the same biblical essence.
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+ This enriched dataset—bountiful in biblically sound & matching sentence pairs—is accessible on the hub, referenced as [odunola/bible-reference-sentence-pair](https://huggingface.co/datasets/odunola/bible-reference-sentence-pair). As a result of this intensive learning process, the model possesses an uncanny knack for recognising parallels in seemingly disparate biblical discussions.
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  <!--- Describe your model here -->
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