pkshatech
/

RoSEtta-base-ja

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

Model card Files Files and versions Community

yano0 commited on Sep 5

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9ae5537

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1 Parent(s): 0a05607

Update README.md

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@@ -70,7 +70,7 @@ sentences = [
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
-# [3, 768]
 # Get the similarity scores for the embeddings
 similarities = F.cosine_similarity(embeddings.unsqueeze(0), embeddings.unsqueeze(1), dim=2)

 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)
+# [2, 768]
 # Get the similarity scores for the embeddings
 similarities = F.cosine_similarity(embeddings.unsqueeze(0), embeddings.unsqueeze(1), dim=2)