README.md

---
tags:
- autotrain
- token-classification
- arxiv:2104.09617
- mlx
base_model: NbAiLab/nb-bert-base
datasets:
- ltgoslo/norne
license: apache-2.0
language:
- 'no'
- nb
- nn
pipeline_tag: token-classification
library_name: transformers
inference:
  parameters:
    aggregation_strategy: first
widget:
- text: >-
    Trond Giske har bekreftet på spørsmål fra Adresseavisen at Hansen leide et
    rom i hans leilighet i Trondheim.
model-index:
- name: NbAiLab/nb-bert-base-pos
  results:
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: ltgoslo/norne
      type: ltgoslo/norne
      args: bokmaal
    metrics:
    - name: Test Loss
      type: loss
      value: 0.0650700181722641
    - name: Test Precision
      type: precision
      value: 0.985085078075765
    - name: Test Recall
      type: recall
      value: 0.9877826148012919
    - name: Test F1
      type: f1
      value: 0.9864320022438031
    - name: Test Accuracy
      type: accuracy
      value: 0.9861949007001629
metrics:
- accuracy
- f1
- precision
- recall
---
**Release 1.0** (November 6, 2024)

# nb-bert-base-pos

## Description
NB-Bert base model fine-tuned on the Part of Speech task using the [NorNE dataset](https://huggingface.co/datasets/ltgoslo/norne).

## Usage

```python
from transformers import pipeline

pos = pipeline("token-classification", "NbAiLab/nb-bert-base-pos")
example = "Jeg heter Kjell og bor i Oslo."

pos_results = pos(example)
print(ner_results)
```

More on https://arxiv.org/abs/2104.09617