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:
- 1f1341b9bcc187548867c5dcca48d6cc8ecc5bcde884255a9feffd57d5e76e44
- Size of remote file:
- 2.03 kB
- SHA256:
- 183a97c9400a057d1619a160119fc4108c3e5133000f84540cf1c0d74d26ac1c
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