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--- |
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language: no |
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license: CC-BY 4.0 |
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thumbnail: https://raw.githubusercontent.com/NBAiLab/notram/master/images/nblogo_2.png |
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tags: |
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- nb-bert |
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- text-classification |
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- pytorch |
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- tensorflow |
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- norwegian |
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- bert |
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datasets: |
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- mnli |
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- multi_nli |
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- xnli |
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pipeline_tag: zero-shot-classification |
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widget: |
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- text: "Såframt uforutsette ting ikke inntreffer, kommer statsministeren til å presentere en plan for gjenåpningen av samfunnet før påske. Det bekrefter hun overfor Dagbladet." |
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candidate_labels: "politikk, helse, sport, religion, geografi" |
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multi_class: true |
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--- |
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**Release 1.0** (March 11, 2021) |
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# NB-Bert base model finetuned on Norwegian machine translated MNLI |
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## Description |
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This finetuned model was created to show that it is possible to use a MNLI finetuned model for zero-shot classification. It is an alternative to finetuning a model on a specific annotated dataset. |
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## Intended use & limitations |
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## Training data |
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## More information |
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For more information on the model, see |
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https://github.com/NBAiLab/notram |
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