Edit model card

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.

Usage

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)
Downloads last month
33,203
Safetensors
Model size
124M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

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