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This model has been fine-tuned on the IMDB dataset, which contains movie reviews labeled with sentiments: `positive` or `negative`. The model is based on the `DistilBERT` architecture, which is a lighter, more efficient variant of BERT, offering faster inference without significantly sacrificing accuracy.
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- **Developed by:** Leonuraht/Scilineo
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- **Shared by [optional]:** Leonuraht/Scilineo
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- **Model type:** Transformer-based model for text classification (sentiment analysis)
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- **Language(s) (NLP):** English
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- **Finetuned from model
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## Uses
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This model has been fine-tuned on the IMDB dataset, which contains movie reviews labeled with sentiments: `positive` or `negative`. The model is based on the `DistilBERT` architecture, which is a lighter, more efficient variant of BERT, offering faster inference without significantly sacrificing accuracy.
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- **Developed by:** Leonuraht/Scilineo
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- **Model type:** Transformer-based model for text classification (sentiment analysis)
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- **Language(s) (NLP):** English
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- **Finetuned from model :** distilbert-base-uncased
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## Uses
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