Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model
Paper • 2104.09617 • Published • 2
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.
Usage
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
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Model size
0.2B params
Tensor type
F32
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Base model
NbAiLab/nb-bert-basePaper for NbAiLab/nb-bert-base-pos
Evaluation results
- Test Loss on ltgoslo/norneself-reported0.065
- Test Precision on ltgoslo/norneself-reported0.985
- Test Recall on ltgoslo/norneself-reported0.988
- Test F1 on ltgoslo/norneself-reported0.986
- Test Accuracy on ltgoslo/norneself-reported0.986