LKriesch
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TwinTransitionMapper_Green

Text Classification

sentence-transformers

generated_from_setfit_trainer

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LKriesch commited on Sep 2, 2024

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@@ -15,7 +15,7 @@ base_model: intfloat/multilingual-e5-large
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 # TwinTransitionMapper_Green
-This repository contains the model for our paper entitled Not all twins are identical: the digital layer of “twin” transition market applications (https://drive.google.com/file/d/1MN0GSl1FExHYkDyN_VhEt8yFwMX1MM4x/view?usp=drive_link) which is under review in Regional Studies (https://www.tandfonline.com/journals/cres20).
 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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 # TwinTransitionMapper_Green
+This repository contains the model for our paper entitled [Not all twins are identical: the digital layer of “twin” transition market applications](https://drive.google.com/file/d/1MN0GSl1FExHYkDyN_VhEt8yFwMX1MM4x/view?usp=drive_link) which is under review in Regional Studies (https://www.tandfonline.com/journals/cres20).
 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.