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Browse filesChanged capitalization of semantic cache, added link to medical dataset
README.md
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name: Cosine Ap
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# Redis
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) on the [Medical]( https://www.kaggle.com/datasets/thedevastator/medical-question-pair-classification/data) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity for the purpose of semantic caching in the medical domain.
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- **Output Dimensionality:** 768 dimensions
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- **Similarity Function:** Cosine Similarity
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- **Training Dataset:**
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- Medical
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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name: Cosine Ap
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# Redis semantic caching embedding model based on Alibaba-NLP/gte-modernbert-base
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Alibaba-NLP/gte-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-modernbert-base) on the [Medical]( https://www.kaggle.com/datasets/thedevastator/medical-question-pair-classification/data) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity for the purpose of semantic caching in the medical domain.
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- **Output Dimensionality:** 768 dimensions
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- **Similarity Function:** Cosine Similarity
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- **Training Dataset:**
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- [Medical]( https://www.kaggle.com/datasets/thedevastator/medical-question-pair-classification/data)
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<!-- - **Language:** Unknown -->
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<!-- - **License:** Unknown -->
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