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Update README.md

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@@ -27,8 +27,8 @@ We cast this task as a binary classification task, where the objective is, given
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  import torch
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- tokenizer = AutoTokenizer.from_pretrained("gabski/deberta-suboptimal-claim-detection")
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- model = AutoModelForSequenceClassification.from_pretrained("gabski/deberta-suboptimal-claim-detection")
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  claim = 'Teachers are likely to educate children better than parents.'
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  parent_claim = 'Homeschooling should be banned.'
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  model_input = tokenizer(claim, parent_claim, return_tensors='pt')
 
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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  import torch
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+ tokenizer = AutoTokenizer.from_pretrained("gabski/deberta-suboptimal-claim-detection-with-parent-context")
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+ model = AutoModelForSequenceClassification.from_pretrained("gabski/deberta-suboptimal-claim-detection-with-parent-context")
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  claim = 'Teachers are likely to educate children better than parents.'
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  parent_claim = 'Homeschooling should be banned.'
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  model_input = tokenizer(claim, parent_claim, return_tensors='pt')