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README.md
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MeDa-BERT was initialized with weights from a [pretrained Danish BERT model](https://huggingface.co/Maltehb/danish-bert-botxo) and pretrained for 48 epochs using the MLM objective on a Danish medical corpus of 123M tokens.
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The development of the corpus and model is described further in [this paper](https://
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Here is an example on how to load the model in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:
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MeDa-BERT was initialized with weights from a [pretrained Danish BERT model](https://huggingface.co/Maltehb/danish-bert-botxo) and pretrained for 48 epochs using the MLM objective on a Danish medical corpus of 123M tokens.
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The development of the corpus and model is described further in [this paper](https://aclanthology.org/2023.nodalida-1.31/).
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Here is an example on how to load the model in PyTorch using the [🤗Transformers](https://github.com/huggingface/transformers) library:
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