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Update README.md

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@@ -33,7 +33,7 @@ tokenizer = AutoTokenizer.from_pretrained("d4data/environmental-due-diligence-mo
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  model = TFAutoModelForSequenceClassification.from_pretrained("d4data/environmental-due-diligence-model")
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  classifier = pipeline('text-classification', model=model, tokenizer=tokenizer) # cuda = 0,1 based on gpu availability
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- classifier("The irony, of course, is that the exhibit that invites people to throw trash at vacuuming Ivanka Trump lookalike reflects every stereotype feminists claim to stand against, oversexualizing Ivanka’s body and ignoring her hard work.")
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  ```
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  ## Author
 
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  model = TFAutoModelForSequenceClassification.from_pretrained("d4data/environmental-due-diligence-model")
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  classifier = pipeline('text-classification', model=model, tokenizer=tokenizer) # cuda = 0,1 based on gpu availability
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+ classifier("At the every month post-injection monitoring event, TCE, carbon tetrachloride, and chloroform concentrations were above CBSGs in three of the wells")
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  ```
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  ## Author