GiliGold
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Knesset-multi-e5-large

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

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GiliGold commited on Feb 3

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@@ -16,7 +16,7 @@ base_model:
 This is a [sentence-transformers](https://www.sbert.net) model. It maps sentences and paragraphs to a 1024-dimensional dense vector space and can be used for tasks like clustering or semantic search.
-This model is based on the [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) model.
 The transformer encoder has been fine-tuned on [Knesset data](https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus) to better capture legislative and parliamentary language.
 ## Usage (Sentence-Transformers)

 This is a [sentence-transformers](https://www.sbert.net) model. It maps sentences and paragraphs to a 1024-dimensional dense vector space and can be used for tasks like clustering or semantic search.
+**Knesset-multi-e5-large** is based on the [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) model.
 The transformer encoder has been fine-tuned on [Knesset data](https://huggingface.co/datasets/HaifaCLGroup/KnessetCorpus) to better capture legislative and parliamentary language.
 ## Usage (Sentence-Transformers)