Collab-uniba
/

github-issues-preprocessed-mpnet-st-e10

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Model card Files Files and versions

PeppoCola commited on Jul 4, 2023

Commit

f9d4273

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1 Parent(s): 9edbac9

Update README.md

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@@ -32,7 +32,7 @@ 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('Collab-uniba/github-issues-preprocessed-mpnet-st-e10')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```