Voicelab
/

sbert-base-cased-pl

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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AgaMiko commited on Sep 29, 2022

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@@ -62,7 +62,7 @@ x = sbert(tokens["input_ids"],
 print(pairwise.cosine_similarity(x[0], x[1])) # Result: 0.7952354
 # similarity between sentences s0 and s2
-print(pairwise.cosine_similarity(x[0], x[2))) # Result: 0.42359722
  ```
 # Results

 print(pairwise.cosine_similarity(x[0], x[1])) # Result: 0.7952354
 # similarity between sentences s0 and s2
+print(pairwise.cosine_similarity(x[0], x[2])) # Result: 0.42359722
  ```
 # Results