LKriesch
/

TwinTransitionMapper_Green

Text Classification

sentence-transformers

generated_from_setfit_trainer

text-embeddings-inference

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LKriesch commited on Sep 2, 2024

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@@ -24,7 +24,7 @@ The model has been trained on paragraphs from German company websites using an e
 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
-The model is designed to predict the clean technology capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [TwinTransitionMapper_AI](https://huggingface.co/LKriesch/TwinTransitionMapper_AI) model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to: [LINK TO WORKING PAPER]
 ### Model Description
 - **Model Type:** SetFit

 1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
 2. Training a classification head with features from the fine-tuned Sentence Transformer.
+The model is designed to predict the clean technology capabilities of German companies based on their website texts. It is intended to be used in conjunction with the [TwinTransitionMapper_AI](https://huggingface.co/LKriesch/TwinTransitionMapper_AI) model to identify companies contributing to the twin transition in Germany. For detailed information on the fine-tuning process and the results of these models, please refer to the [paper](https://drive.google.com/file/d/1MN0GSl1FExHYkDyN_VhEt8yFwMX1MM4x/view?usp=drive_link).
 ### Model Description
 - **Model Type:** SetFit