Token Classification
Transformers
Safetensors
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
named-entity-recognition
ner
norwegian
bokmal
nynorsk
norbert
custom_code
Eval Results (legacy)
Instructions to use fransis3/norbert4-small-NorNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fransis3/norbert4-small-NorNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fransis3/norbert4-small-NorNER", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("fransis3/norbert4-small-NorNER", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fransis3/norbert4-small-NorNER: direct link, hf CLI and curl.
- Browser
- Download file 3.63 MB
-
https://huggingface.co/fransis3/norbert4-small-NorNER/resolve/main/tokenizer.json
- Command line
-
hf download hf://fransis3/norbert4-small-NorNER/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/fransis3/norbert4-small-NorNER/resolve/main/tokenizer.json
3.63 MB
File too large to display, you can check the raw version instead.