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Update README.md

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@@ -108,7 +108,7 @@ def evaluate(batch):
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  with torch.no_grad():
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  logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
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- pred_ids = torch.argmax(logits, dim=-1)
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  batch["pred_strings"] = processor.batch_decode(pred_ids)
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  return batch
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  with torch.no_grad():
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  logits = model(inputs.input_values.to("cuda"), attention_mask=inputs.attention_mask.to("cuda")).logits
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+ pred_ids = torch.argmax(logits, dim=-1)
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  batch["pred_strings"] = processor.batch_decode(pred_ids)
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  return batch
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