Update README.md
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README.md
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@@ -37,8 +37,8 @@ tokenizer = T5Tokenizer.from_pretrained(model_name)
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model = T5ForConditionalGeneration.from_pretrained(model_name)
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# Prepare the input
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claim = "
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category = "
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prefix = "Please answer this question: Does the claim belong to the category?"
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input_text = f"{prefix} Claim: {claim} Category: {category}"
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model = T5ForConditionalGeneration.from_pretrained(model_name)
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# Prepare the input
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claim = "Clodronate treatment in patients with breast cancer reduces the incidence and number of new bony and visceral metastases."
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category = "Effectiveness of bone agents"
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prefix = "Please answer this question: Does the claim belong to the category?"
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input_text = f"{prefix} Claim: {claim} Category: {category}"
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