NbAiLab/nb-bert-base-mnli

Using pre-trained MNLI models as zero-shot sequence classifiers . The methods works by reformulating the question to an MNLI hypothesis . There are no MNLI-set of this size in Norwegian but we have trained it on a machine translated version of the original MNLI set . For testing the model, we recommend the NbAiLab Colab Notebook with the Hugging Face pipeline . You can then use this pipeline to classify sequences into any of the class names you specify . The easiest way to try this out is by using the pipeline . The model is finetuned on the 400k large MNLI task, it is in many cases able to solve this classification tasks,