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Update README.md

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@@ -54,8 +54,8 @@ def mean_pooling(model_output, attention_mask):
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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('S-PubMedBert-MedQuAD')
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- model = AutoModel.from_pretrained('S-PubMedBert-MedQuAD')
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  # Tokenize sentences
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  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
 
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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('TimKond/S-PubMedBert-MedQuAD')
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+ model = AutoModel.from_pretrained('TimKond/S-PubMedBert-MedQuAD')
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  # Tokenize sentences
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  encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')