Update README.md
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README.md
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@@ -32,7 +32,7 @@ Then you can use the model like this:
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('Collab-uniba/github-issues-preprocessed-mpnet-st-e10')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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