:books: add documentation
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README.md
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@@ -32,7 +32,7 @@ Here is how to use this model to get the features of a given text using [Sentenc
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```python
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('flax-sentence-embeddings/
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text = "Replace me by any text you'd like."
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text_embbedding = model.encode(text)
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# array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,
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```python
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from sentence_transformers import SentenceTransformer
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model = SentenceTransformer('flax-sentence-embeddings/all_datasets_v3_MiniLM-L6')
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text = "Replace me by any text you'd like."
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text_embbedding = model.encode(text)
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# array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,
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