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  ## Example Usage
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- The following Python code demonstrates how to use the `XiaoZhang98/byT5-DRS` model with the Hugging Face Transformers library to process an example sentence.
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  ```python
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  from transformers import AutoTokenizer, T5ForConditionalGeneration
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  # Decode and print the output text
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  pred_text = tokenizer.decode(output[0], skip_special_tokens=True, clean_up_tokenization_spaces=False)
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- print(pred_text)
 
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+ ---
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+ {}
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+
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+ ---
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+
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  ## Example Usage
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+ This section demonstrates how to use the `XiaoZhang98/byT5-DRS` model with the Hugging Face Transformers library to process an example sentence.
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  ```python
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  from transformers import AutoTokenizer, T5ForConditionalGeneration
 
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  # Decode and print the output text
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  pred_text = tokenizer.decode(output[0], skip_special_tokens=True, clean_up_tokenization_spaces=False)
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+ print(pred_text)