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Update README.md

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@@ -45,7 +45,7 @@ You can use the following code template to load and fine-tune the model
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  compute_metrics=compute_metrics
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  )
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- # train the age model
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  trainer.train()
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  predictions = trainer.predict(eval_split)
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  with open(f"{output_dir}predictions.pickle", "wb") as fp:
 
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  compute_metrics=compute_metrics
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  )
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+ # train the model
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  trainer.train()
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  predictions = trainer.predict(eval_split)
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  with open(f"{output_dir}predictions.pickle", "wb") as fp: