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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Safetensors

Model size

177M params

Tensor type

F32

Inference Examples

Token Classification

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Model tree for NbAiLab/nb-bert-base-pos

Base model

NbAiLab/nb-bert-base

Finetuned

(17)

this model

Dataset used to train NbAiLab/nb-bert-base-pos

Evaluation results

Test Loss on ltgoslo/norne
self-reported

0.065
Test Precision on ltgoslo/norne
self-reported

0.985
Test Recall on ltgoslo/norne
self-reported

0.988
Test F1 on ltgoslo/norne
self-reported

0.986
Test Accuracy on ltgoslo/norne
self-reported

0.986

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