Voicelab
/

sbert-large-cased-pl

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

Model card Files Files and versions Community

AgaMiko commited on Sep 29, 2022

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@@ -61,7 +61,7 @@ x = sbert(tokens["input_ids"],
 print(pairwise.cosine_similarity(x[0], x[1])) # Result: 0.8011128
 # similarity between sentences s0 and s2
-print(pairwise.cosine_similarity(x[0], x[2))) # Result: 0.58822715
  ```
 # Results

 print(pairwise.cosine_similarity(x[0], x[1])) # Result: 0.8011128
 # similarity between sentences s0 and s2
+print(pairwise.cosine_similarity(x[0], x[2])) # Result: 0.58822715
  ```
 # Results