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@@ -16,7 +16,7 @@ base_model: intfloat/multilingual-e5-large
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  # TwinTransitionMapper_Green
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- This is a SetFit model that can be used for Text Classification. This SetFit model uses intfloat/multilingual-e5-large as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
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  The model has been trained on paragraphs from German company websites using an efficient few-shot learning technique that involves:
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  # TwinTransitionMapper_Green
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+ This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) as the Sentence Transformer embedding model. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
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  The model has been trained on paragraphs from German company websites using an efficient few-shot learning technique that involves:
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