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Update README.md
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README.md
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# Model Card for Model ID
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This model is meant to extract sentiments (positive, negative, or neutral) from a tweet text.
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tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
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model = AutoModelForSequenceClassification.from_pretrained("mayapapaya/Sentiment-Analyzer")
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```
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---
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datasets:
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- tweet_eval
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language:
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- en
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---
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# Model Card for Model ID
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This model is meant to extract sentiments (positive, negative, or neutral) from a tweet text.
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tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased")
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model = AutoModelForSequenceClassification.from_pretrained("mayapapaya/Sentiment-Analyzer")
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```
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