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Update README.md

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@@ -76,11 +76,11 @@ model = AutoModel.from_pretrained(url, trust_remote_code=True)
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  # Input text prompts describing findings.
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  # The order of prompts is adjusted to capture the spectrum from absence of a finding to its temporal progression.
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- text_prompts = ["No pleural effusion or pneumothorax is seen",
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- "There is no pneumothorax or pleural effusion",
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  "The extent of the pleural effusion is reduced.",
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  "The extent of the pleural effusion remains constant.",
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- "Interval enlargement of pleural effusion"]
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  # Tokenize and compute the sentence embeddings
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  with torch.no_grad():
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  # Input text prompts describing findings.
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  # The order of prompts is adjusted to capture the spectrum from absence of a finding to its temporal progression.
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+ text_prompts = ["No pleural effusion or pneumothorax is seen.",
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+ "There is no pneumothorax or pleural effusion.",
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  "The extent of the pleural effusion is reduced.",
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  "The extent of the pleural effusion remains constant.",
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+ "Interval enlargement of pleural effusion."]
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  # Tokenize and compute the sentence embeddings
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  with torch.no_grad():