Update README.md
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README.md
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@@ -69,8 +69,13 @@ sentences = [
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'Die Flagge bewegte sich in der Luft.',
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'Zwei Personen beobachten das Wasser.',
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]
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embeddings = model.encode(sentences)
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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'Die Flagge bewegte sich in der Luft.',
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'Zwei Personen beobachten das Wasser.',
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]
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# For FP32 embeddings (takes more space)
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embeddings = model.encode(sentences)
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# For FP16 embeddings (half space, no quality loss)
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# embeddings = model.encode(sentences, convert_to_tensor=True).half()
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# Get the similarity scores for the embeddings
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similarities = model.similarity(embeddings, embeddings)
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