famube
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roberta-base-msmarco.sentence-msmarco

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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famube commited on Nov 25, 2023

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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.
 It was trained using a triplet loss function on a 100k sample of the MS MARCO dataset
-PLM used: roberta-base adapted to MSMARCO: famube/roberta-base-msmarco
 ## Usage (Sentence-Transformers)
@@ -129,6 +129,3 @@ SentenceTransformer(
 ## Citing & Authors
 <!--- Describe where people can find more information -->
-Sentence Transformers trained using a triplet loss function on a 100k sample of the MS MARCO dataset
-PLM used: roberta-base adapted to MSMARCO: famube/roberta-base-msmarco

 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.
 It was trained using a triplet loss function on a 100k sample of the MS MARCO dataset
+Used PLM: roberta-base adapted to MSMARCO: famube/roberta-base-msmarco
 ## Usage (Sentence-Transformers)
 ## Citing & Authors
 <!--- Describe where people can find more information -->