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- <span style="color: blue">[KBLab](https://www.kb.se/in-english/research-collaboration/kblab.html)</span> is a national research infrastructure for digital humanities and social science at the <span style="color: blue">[National Library of Sweden](https://kb.se/)</span>. We train models, do experiments and sometimes <span style="color: blue">[blog](https://kb-labb.github.io/)</span>.
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  Some of our most popular models are
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- - <span style="color: blue">[the original KB-BERT](https://huggingface.co/KBLab/bert-base-swedish-cased)</span>
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- - <span style="color: blue">[a large BERT trained with Megatron-LM](https://huggingface.co/KBLab/megatron-bert-large-swedish-cased-165k)</span>
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- - <span style="color: blue">[a Sentence-BERT](https://huggingface.co/KBLab/sentence-bert-swedish-cased)</span>
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- - <span style="color: blue">[a NER model trained on a mix of cased and uncased data](https://huggingface.co/KBLab/bert-base-swedish-lowermix-reallysimple-ner)</span>
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- - <span style="color: blue">[a wav2vec model](https://huggingface.co/KBLab/wav2vec2-large-voxrex-swedish)</span>
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- - <span style="color: blue">[a BART model](https://huggingface.co/KBLab/bart-base-swedish-cased)</span>
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- - ...
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  Additionally we provide previous checkpoints for some models and other models closely related to those above.
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  Models related to each other are linked in the respective model cards.
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+ <p><span style="color: blue">[KBLab](https://www.kb.se/in-english/research-collaboration/kblab.html)</span> is a national research infrastructure for digital humanities and social science at the <span style="color: blue">[National Library of Sweden](https://kb.se/)</span>. We train models, do experiments and sometimes <span style="color: blue">[blog](https://kb-labb.github.io/)</span></p>.
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+ <p>
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  Some of our most popular models are
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+ <ul>
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+ <li> <span style="color: blue">[the original KB-BERT](https://huggingface.co/KBLab/bert-base-swedish-cased)</span></li>
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+ <li> <span style="color: blue">[a large BERT trained with Megatron-LM](https://huggingface.co/KBLab/megatron-bert-large-swedish-cased-165k)</span></li>
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+ <li> <span style="color: blue">[a Sentence-BERT](https://huggingface.co/KBLab/sentence-bert-swedish-cased)</span></li>
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+ <li> <span style="color: blue">[a NER model trained on a mix of cased and uncased data](https://huggingface.co/KBLab/bert-base-swedish-lowermix-reallysimple-ner)</span></li>
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+ <li> <span style="color: blue">[a wav2vec model](https://huggingface.co/KBLab/wav2vec2-large-voxrex-swedish)</span></li>
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+ <li> <span style="color: blue">[a BART model](https://huggingface.co/KBLab/bart-base-swedish-cased)</span></li>
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+ - <li>...</li>
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+ </ul>
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+ </p>
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  Additionally we provide previous checkpoints for some models and other models closely related to those above.
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  Models related to each other are linked in the respective model cards.
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