| | --- |
| | 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) |
| | ``` |
