tobischimanski commited on
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Update README.md

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@@ -29,7 +29,7 @@ model_name = "ESGBERT/EnvRoBERTa-environmental"
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, max_len=512)
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- pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, device=0)
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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."))
 
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  model = AutoModelForSequenceClassification.from_pretrained(model_name)
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  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."))