dell-research-harvard
/

same-story

Sentence Similarity

sentence-transformers

feature-extraction

Inference Endpoints

Model card Files Files and versions Community

emilys commited on Mar 23

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e9274ca

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1 Parent(s): a292ca1

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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('{MODEL_NAME}')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
+model = SentenceTransformer('dell-research-harvard/same-story')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```