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README.md
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@@ -4,8 +4,6 @@ base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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- sentiment_analysis
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widget:
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- text: Sold all btc, tethered up before the correction.
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datasets:
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- ckandemir/bitcoin_tweets_sentiment_kaggle
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metrics:
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language:
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- en
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library_name: transformers
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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tags:
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- generated_from_trainer
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- sentiment_analysis
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datasets:
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- ckandemir/bitcoin_tweets_sentiment_kaggle
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metrics:
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language:
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- en
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library_name: transformers
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widget:
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- text: "Sold all btc, tethered up before the correction."
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pipeline_tag: text-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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