GiliGold
/

Knesset-multi-e5-large

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

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GiliGold commited on Feb 3

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1 Parent(s): c4bd8e3

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@@ -33,7 +33,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["זה משפט ראשון לדוגמה", "זה המשפט השני"]
-model = SentenceTransformer('Knesset-multi-e5-large')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["זה משפט ראשון לדוגמה", "זה המשפט השני"]
+model = SentenceTransformer('GiliGold/Knesset-multi-e5-large')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```