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MPA
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sambert

Sentence Similarity
sentence-transformers
Safetensors
Transformers
Hebrew
bert
feature-extraction
text-embeddings-inference
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- # {MODEL_NAME}
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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.
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+ # Sambert - embeddings model in Hebrew
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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.
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