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Update README.md

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@@ -31,6 +31,7 @@ input = tokenizer(premise, hypothesis, truncation=True, return_tensors="pt")
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  output = model(input["input_ids"].to(device))[:,0] # device = "cuda:0" or "cpu"
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  prediction = torch.sigmoid(output).tolist()
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  print(prediction)
 
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  license: openrail
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  pipeline_tag: text-classification
 
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  output = model(input["input_ids"].to(device))[:,0] # device = "cuda:0" or "cpu"
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  prediction = torch.sigmoid(output).tolist()
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  print(prediction)
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+ ```
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  license: openrail
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  pipeline_tag: text-classification