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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e02de33479ee71c42ad6786825135fe2940d06d840488e0bac652e41db69ccca
- Size of remote file:
- 1.97 GB
- SHA256:
- ef11341997194a5d2be19c712abc079c855b64c0e676bdd6e585391d6382d997
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