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Update README.md

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@@ -53,7 +53,7 @@ def mean_pooling(model_output, attention_mask):
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  # Sentences we want sentence embeddings for
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- sentences = ['This is an example sentence', 'Each sentence is converted']
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  # Load model from HuggingFace Hub
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  tokenizer = AutoTokenizer.from_pretrained('mrm8488/distiluse-base-multilingual-cased-v2-finetuned-stsb_multi_mt-es')
 
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  # Sentences we want sentence embeddings for
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+ sentences = ["Nerea va a comprar un cuadro usando bitcoins", "Se puede comprar arte con bitcoins"]
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  # Load model from HuggingFace Hub
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  tokenizer = AutoTokenizer.from_pretrained('mrm8488/distiluse-base-multilingual-cased-v2-finetuned-stsb_multi_mt-es')