sentence-transformers
/

multi-qa-MiniLM-L6-cos-v1

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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nreimers commited on Aug 23, 2021

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@@ -111,6 +111,7 @@ In the following some technical details how this model must be used:
 | Setting | Value |
 | --- | :---: |
 | Produces normalized embeddings | Yes |
 | Pooling-Method | Mean pooling |
 | Suitable score functions | dot-product (`util.dot_score`), cosine-similarity (`util.cos_sim`), or euclidean distance |

 | Setting | Value |
 | --- | :---: |
+| Dimensions | 384 |
 | Produces normalized embeddings | Yes |
 | Pooling-Method | Mean pooling |
 | Suitable score functions | dot-product (`util.dot_score`), cosine-similarity (`util.cos_sim`), or euclidean distance |