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  base_model_relation: merge
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- <img src="https://www.German-RAG.ai/wp-content/uploads/2024/12/German-RAG-ICON-TO-WORDLOGO-Animation_Loop-small-ezgif.com-video-to-gif-converter.gif" alt="German-RAG Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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  # German-RAG-UAE-LARGE-V1-TRIPLES-MERGED-HESSIAN-AI
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  This is a [sentence-transformers](https://www.SBERT.net) model trained on this [Dataset](https://huggingface.co/datasets/avemio/German-RAG-Embedding-Triples-Hessian-AI) with roughly 300k Triple-Samples. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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  ```
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- <!--
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- ## Glossary
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-
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- *Clearly define terms in order to be accessible across audiences.*
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- -->
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-
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- <!--
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- ## Model Card Authors
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- *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
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- -->
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-
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- <!--
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- ## Model Card Contact
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- *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
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- -->
 
 
 
 
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  base_model_relation: merge
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  # German-RAG-UAE-LARGE-V1-TRIPLES-MERGED-HESSIAN-AI
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  This is a [sentence-transformers](https://www.SBERT.net) model trained on this [Dataset](https://huggingface.co/datasets/avemio/German-RAG-Embedding-Triples-Hessian-AI) with roughly 300k Triple-Samples. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
 
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  ```
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+ ## The German-RAG AI Team
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+ [Marcel Rosiak](https://de.linkedin.com/in/marcel-rosiak)
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+ [Soumya Paul](https://de.linkedin.com/in/soumya-paul-1636a68a)
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+ [Siavash Mollaebrahim](https://de.linkedin.com/in/siavash-mollaebrahim-4084b5153?trk=people-guest_people_search-card)
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+ [Zain ul Haq](https://de.linkedin.com/in/zain-ul-haq-31ba35196)