readme: ---
  language: no
  license: cc-by-4.0
  tags:
  - norwegian
  - bert
  - ner
  thumbnail: nblogo_3.png
  pipeline_tag: token-classification
  datasets:
  - norne
  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.
  ---
  
  **Release 1.0** (November 17, 2021)
  
  # nb-bert-base-ner
  
  ## Description
  NB-Bert base model fine-tuned on the Named Entity Recognition task using the [NorNE dataset](https://huggingface.co/datasets/NbAiLab/norne).
  
  ## Usage
  
  ```python
  from transformers import AutoTokenizer, AutoModelForTokenClassification
  from transformers import pipeline
  
  tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-bert-base-ner")
  model = AutoModelForTokenClassification.from_pretrained("NbAiLab/nb-bert-base-ner")
  
  nlp = pipeline("ner", model=model, tokenizer=tokenizer)
  example = "Jeg heter Kjell og bor i Oslo."
  
  ner_results = nlp(example)
  print(ner_results)
  ```