obrizum
/

all-mpnet-base-v2

Feature Extraction

sentence-transformers

sentence-similarity

Inference Endpoints

Model card Files Files and versions Community

obrizum commited on May 5, 2022

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147cb32

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1 Parent(s): 414113c

update readme

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README.md +1 -1

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@@ -19,7 +19,7 @@ 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('sentence-transformers/all-mpnet-base-v2')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
+model = SentenceTransformer('obrizum/all-mpnet-base-v2')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```