redis
/

langcache-embed-v1

Sentence Similarity

sentence-transformers

loss:OnlineContrastiveLoss

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

srijithrajamohan commited on Mar 25, 2025

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changed capitalization of semantic caching

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@@ -39,7 +39,7 @@ model-index:
       name: Cosine Ap
 ---
-# Redis Semantic Caching embedding model based on Alibaba-NLP/gte-modernbert-base
 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 [Quora](https://www.kaggle.com/datasets/quora/question-pairs-dataset) 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.

       name: Cosine Ap
 ---
+# Redis semantic caching embedding model based on Alibaba-NLP/gte-modernbert-base
 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 [Quora](https://www.kaggle.com/datasets/quora/question-pairs-dataset) 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.