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README.md
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# GPT-2 Sentiment Analysis for Tweets
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## Model Details
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# Output the result
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print(result)
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# Example Output: [{'label': 'Positive', 'score': 0.999}]
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---
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license: mit
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datasets:
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- mteb/tweet_sentiment_extraction
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language:
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- en
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metrics:
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- accuracy
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base_model:
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- openai-community/gpt2
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pipeline_tag: text-classification
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library_name: transformers
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---
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# GPT-2 Sentiment Analysis for Tweets
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## Model Details
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# Output the result
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print(result)
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# Example Output: [{'label': 'Positive', 'score': 0.999}]
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