oguuzhansahin
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bi-encoder-mnrl-dbmdz-bert-base-turkish-cased-margin_3.0-msmarco-tr-10k

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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oguuzhansahin commited on Dec 9, 2023

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@@ -10,7 +10,7 @@ tags:
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-# bi-encoder-mnrl-dbmdz-bert-base-turkish-cased-margin_3.0-msmarco-10k-translated
 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.
@@ -29,7 +29,7 @@ Then you can use the model like this:
 ```python
 from sentence_transformers import SentenceTransformer, util
-model = SentenceTransformer('oguuzhansahin/bi-encoder-mnrl-dbmdz-bert-base-turkish-cased-margin_3.0-msmarco-10k-translated')
 query = "İstanbul'un nüfusu kaçtır?"

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+# oguuzhansahin/bi-encoder-mnrl-dbmdz-bert-base-turkish-cased-margin_3.0-msmarco-tr-10k
 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.
 ```python
 from sentence_transformers import SentenceTransformer, util
+model = SentenceTransformer('oguuzhansahin/bi-encoder-mnrl-dbmdz-bert-base-turkish-cased-margin_3.0-msmarco-tr-10k')
 query = "İstanbul'un nüfusu kaçtır?"