Token Classification
Transformers
TensorBoard
Safetensors
MLX
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
bert
Trained with AutoTrain
Eval Results (legacy)
Instructions to use NbAiLab/nb-bert-base-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-base-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NbAiLab/nb-bert-base-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-bert-base-pos") model = AutoModelForTokenClassification.from_pretrained("NbAiLab/nb-bert-base-pos", device_map="auto") - MLX
How to use NbAiLab/nb-bert-base-pos with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NbAiLab/nb-bert-base-pos --local-dir nb-bert-base-pos
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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