jhgan
/

ko-sroberta-multitask

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Model card Files Files and versions

Junghyun Gan commited on Dec 28, 2021

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333e822

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1 Parent(s): ed3a97b

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@@ -27,7 +27,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["안녕하세요?", "한국어 문장 임베딩을 위한 버트 모델입니다."]
-model = SentenceTransformer('ko-sroberta-multitask')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["안녕하세요?", "한국어 문장 임베딩을 위한 버트 모델입니다."]
+model = SentenceTransformer('jhgan/ko-sroberta-multitask')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```