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alexanderfalk/danbert-small-cased

The alexanderfalk/danbert-small-cased model is a machine learning model.

About alexanderfalk/danbert-small-cased

DanBERT is a danish pre-trained model based on BERT-Base . The model has been trained on more than 2 million sentences and 40 millions, danish words . The training has been conducted as part of a thesis. The model can be found at:.glyglyglydanbert-da.glybene-danish-language-model.glygene-model . Glybene: The model is based on the data from BERT Base.glycine-base.glyfene-base . Glycine: The pre-training model is a Danish pre-trainable model. Glycene-based model. The training was conducted as,
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