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README.md
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model-index:
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- name: selims
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# selims
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This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the tweet_eval dataset.
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- Datasets 2.0.0
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- Tokenizers 0.10.3
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widget:
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- text: "I love conducting research on twins!"
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example_title: "Sentiment analysis - English"
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- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
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example_title: "Sentiment analysis - Dutch"
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model-index:
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- name: selims
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results: []
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widget:
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- text: "I love conducting research on twins!"
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example_title: "Sentiment analysis - English"
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- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
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example_title: "Sentiment analysis - Dutch"
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---
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# selims
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This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the tweet_eval dataset.
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- Datasets 2.0.0
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- Tokenizers 0.10.3
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