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Update README.md

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@@ -33,7 +33,7 @@ tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, max_len=512)
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  pipe = pipeline("text-classification", model=model, tokenizer=tokenizer) # set device=0 to use GPU
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  # See https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline
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- print(pipe("Scope 1 emissions are reported here on a like-for-like basis against the 2013 baseline and exclude emissions from additional vehicles used during repairs."), padding=True, truncation=True)
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  ```
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  ## More details can be found in the paper
 
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  pipe = pipeline("text-classification", model=model, tokenizer=tokenizer) # set device=0 to use GPU
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  # See https://huggingface.co/docs/transformers/main_classes/pipelines#transformers.pipeline
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+ print(pipe("Scope 1 emissions are reported here on a like-for-like basis against the 2013 baseline and exclude emissions from additional vehicles used during repairs.", padding=True, truncation=True))
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  ```
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  ## More details can be found in the paper