Token Classification
Transformers
TensorBoard
Safetensors
MLX
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
bert
Trained with AutoTrain
Eval Results (legacy)
Instructions to use NbAiLab/nb-bert-base-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-base-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="NbAiLab/nb-bert-base-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-bert-base-pos") model = AutoModelForTokenClassification.from_pretrained("NbAiLab/nb-bert-base-pos", device_map="auto") - MLX
How to use NbAiLab/nb-bert-base-pos with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NbAiLab/nb-bert-base-pos --local-dir nb-bert-base-pos
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download checkpoint-3924/optimizer.pt from NbAiLab/nb-bert-base-pos: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/NbAiLab/nb-bert-base-pos/resolve/main/checkpoint-3924/optimizer.pt
- Command line
-
hf download hf://NbAiLab/nb-bert-base-pos/checkpoint-3924/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/NbAiLab/nb-bert-base-pos/resolve/main/checkpoint-3924/optimizer.pt
1.42 GB
- Xet hash:
- 5d70061b628bcf4e0f54e60f33a1fa3fa4616e0a33a32152f13f4f3f21315de2
- Size of remote file:
- 1.42 GB
- SHA256:
- cfc99fd55ca410cfe12e16cefe154cde77623fe32d82a4a5a346dcf4de2aa26c
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