Zero-Shot Classification
Transformers
PyTorch
JAX
Safetensors
Norwegian
bert
text-classification
nb-bert
tensorflow
norwegian
Instructions to use NbAiLab/nb-bert-base-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-base-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="NbAiLab/nb-bert-base-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-bert-base-mnli") model = AutoModelForSequenceClassification.from_pretrained("NbAiLab/nb-bert-base-mnli") - Notebooks
- Google Colab
- Kaggle
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- example_title: Nyhetsartikkel om FHI
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text: Folkehelseinstituttets mest optimistiske anslag er at alle voksne er ferdigvaksinert innen midten av september.
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candidate_labels: helse, politikk, sport, religion
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- example_title: Mannen snorker
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text: Man kunne høre at mannen snorket tungt.
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candidate_labels: Mannen sover, Mannen reparerer bilen, Mannen er død
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**Release 1.0** (March 11, 2021)
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- example_title: Nyhetsartikkel om FHI
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text: Folkehelseinstituttets mest optimistiske anslag er at alle voksne er ferdigvaksinert innen midten av september.
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candidate_labels: helse, politikk, sport, religion
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**Release 1.0** (March 11, 2021)
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