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Update README.md

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@@ -44,7 +44,7 @@ def preprocess(text):
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  new_text.append(t)
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  return " ".join(new_text)
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- MODEL = f"/home/jupyter/misc/tweeteval/TweetEval_models/xlm-twitter/twitter-xlm-roberta-base-sentiment"
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  tokenizer = AutoTokenizer.from_pretrained(MODEL)
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  config = AutoConfig.from_pretrained(MODEL)
 
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  new_text.append(t)
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  return " ".join(new_text)
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+ MODEL = f"cardiffnlp/twitter-xlm-roberta-base-sentiment"
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  tokenizer = AutoTokenizer.from_pretrained(MODEL)
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  config = AutoConfig.from_pretrained(MODEL)