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Tooka-SBERT-V2-Small

Sentence Similarity
sentence-transformers
Safetensors
Persian
bert
feature-extraction
loss:CachedMultipleNegativesRankingLoss
text-embeddings-inference
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mohalisad commited on
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Update README.md

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README.md CHANGED
@@ -66,7 +66,7 @@ sentences = [
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
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- # [3, 1024]
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  # Get the similarity scores for the embeddings
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  similarities = model.similarity(embeddings, embeddings)
 
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  ]
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  embeddings = model.encode(sentences)
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  print(embeddings.shape)
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+ # [3, 768]
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  # Get the similarity scores for the embeddings
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  similarities = model.similarity(embeddings, embeddings)