bongsoo
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albert-small-kor-sbert-v1.1

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

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bongsoo commited on Jan 17, 2023

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@@ -83,8 +83,9 @@ print(sentence_embeddings)
 |distiluse-base-multilingual-cased-v2   |0.7475    |0.7855    |0.8193           |0.8075|
 |paraphrase-multilingual-mpnet-base-v2  |0.8201    |0.7993    |0.8907           |0.8682|
 |bongsoo/albert-small-kor-sbert-v1      |0.8305    |0.8588    |0.8419           |0.7965|
 |bongsoo/kpf-sbert-v1.1                 |0.8750    |0.8900    |0.8863           |0.8554|
-|bongsoo/albert-small-kor-sbert-v1.1    |0.8526    |0.8833    |0.8484           |0.8286|
 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})

 |distiluse-base-multilingual-cased-v2   |0.7475    |0.7855    |0.8193           |0.8075|
 |paraphrase-multilingual-mpnet-base-v2  |0.8201    |0.7993    |0.8907           |0.8682|
 |bongsoo/albert-small-kor-sbert-v1      |0.8305    |0.8588    |0.8419           |0.7965|
+|bongsoo/klue-sbert-v1.0                |0.8529    |0.8952    |0.8813           |0.8469|
 |bongsoo/kpf-sbert-v1.1                 |0.8750    |0.8900    |0.8863           |0.8554|
+|**bongsoo/albert-small-kor-sbert-v1.1**    |0.8526    |0.8833    |0.8484           |0.8286|
 For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})