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  # samYahoo/setfit-ethos-multilabel-example
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  This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
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  1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 
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  # samYahoo/setfit-ethos-multilabel-example
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+ https://colab.research.google.com/github/huggingface/setfit/blob/main/notebooks/text-classification_multilabel.ipynb#scrollTo=552ec552
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  This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
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  1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.