EZlee
/

e-commerce-bert-base-multilingual-cased

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

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EZlee commited on Aug 29, 2023

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efac012

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1 Parent(s): 13376c4

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@@ -30,7 +30,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
-model = SentenceTransformer('{EZlee/e-commerce-bert-base-multilingual-cased}')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
+model = SentenceTransformer('EZlee/e-commerce-bert-base-multilingual-cased')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```