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NbAiLab
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nb-bert-base-sami-relevant

Text Classification
Transformers
PyTorch
Safetensors
Northern Sami
Norwegian
English
bert
sami relevant
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="NbAiLab/nb-bert-base-sami-relevant")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-bert-base-sami-relevant")
model = AutoModelForSequenceClassification.from_pretrained("NbAiLab/nb-bert-base-sami-relevant")
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NB-BERT-base Sámi Relevant

This a model capable of predicting when a chunk of text could potentially be of interest to the Sámi Bibliographers at the National Library of Norway.

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Model size
0.2B params
Tensor type
I64
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F32
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Text Classification
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