Text Classification
Transformers
PyTorch
Safetensors
Danish
bert
Inference Endpoints
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  # MiniLM-L6-danish-reranker
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  This is a lightweight (~22 M parameters) [sentence-transformers](https://www.SBERT.net) model for Danish NLP: It takes two sentences as input and outputs a relevance score. Therefore, the model can be used for information retrieval, e.g. given a query and candidate matches, rank the candidates by their relevance.
 
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+ *New version available, trained on more data and otherwise identical [KennethTM/MiniLM-L6-danish-reranker-v2](https://huggingface.co/KennethTM/MiniLM-L6-danish-reranker-v2)*
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  # MiniLM-L6-danish-reranker
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  This is a lightweight (~22 M parameters) [sentence-transformers](https://www.SBERT.net) model for Danish NLP: It takes two sentences as input and outputs a relevance score. Therefore, the model can be used for information retrieval, e.g. given a query and candidate matches, rank the candidates by their relevance.