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)# 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
- Xet hash:
- ea939beddad5c71eba7f3da68eb885e3f68a9b7bb1676ccebcbcaaa4dab9c7b0
- Size of remote file:
- 5.78 kB
- SHA256:
- ffff0ca20a4fd4ae70756fc236d86eaa29dc121e062e24510cd8ffd74c3c232e
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