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
- Xet hash:
- 1c893b9f555aba1a7202de959bb80dae3f3e41c777d46bcedee026f1c6d145f4
- Size of remote file:
- 712 MB
- SHA256:
- 8201b4009d3cfe5294272392ef947d1e9ee3921001cd8ec7ea4f904e5533562b
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