Update README.md
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README.md
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@@ -36,7 +36,9 @@ input_ids = input_ids.to(device)
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# Generate summary
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output = model.generate(input_ids, max_length=50, num_beams=4, early_stopping=True)
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generated_summary = tokenizer.decode(output[0], skip_special_tokens=True)
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print(generated_summary)
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To use this model for text generation:
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# Generate summary
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output = model.generate(input_ids, max_length=50, num_beams=4, early_stopping=True)
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generated_summary = tokenizer.decode(output[0], skip_special_tokens=True)
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print(generated_summary)
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To use this model for text generation:
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