Fill-Mask
Transformers
PyTorch
Norwegian
Norwegian Bokmål
Norwegian Nynorsk
BERT
NorBERT
Norwegian
encoder
custom_code
Instructions to use ltg/norbert3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert3-large", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("ltg/norbert3-large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ltg/norbert3-large: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/ltg/norbert3-large/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ltg/norbert3-large/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ltg/norbert3-large/resolve/main/pytorch_model.bin
1.47 GB
- Xet hash:
- 309fb9394ec4410e412a2451b6f6d37c4a1c5163484365221acac7544723edcf
- Size of remote file:
- 1.47 GB
- SHA256:
- 701b30b9296245abdf23cc24fda6d907b8d69c6b9754e896853ff460ef16dc37
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