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-xlarge-NorNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fransis3/norbert4-xlarge-NorNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fransis3/norbert4-xlarge-NorNER", trust_remote_code=True)# Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("fransis3/norbert4-xlarge-NorNER", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a859c2242114564249673ddc987345734df3e9e70b97f26479c08b832f3161a2
- Size of remote file:
- 5.78 kB
- SHA256:
- 974e4d07ba51753cb4ba8084555fbc6157b066fc53995f0a6e44ef67508a1b0d
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