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Update README.md

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@@ -52,7 +52,7 @@ 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('pkedzia/polish-bi-encoder')
 
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  # Sentences we want sentence embeddings for
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+ sentences = ['Ala ma kota i psa, widzi dzisiaj też śnieg', 'Ewa ma białe zęby']
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  # Load model from HuggingFace Hub
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  tokenizer = AutoTokenizer.from_pretrained('pkedzia/polish-bi-encoder')