Instructions to use NbAiLab/notram-bert-norwegian-cased-080321 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/notram-bert-norwegian-cased-080321 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/notram-bert-norwegian-cased-080321")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/notram-bert-norwegian-cased-080321", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NbAiLab/notram-bert-norwegian-cased-080321: direct link, hf CLI and curl.
- Browser
- Download file 714 MB
-
https://huggingface.co/NbAiLab/notram-bert-norwegian-cased-080321/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://NbAiLab/notram-bert-norwegian-cased-080321/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NbAiLab/notram-bert-norwegian-cased-080321/resolve/main/pytorch_model.bin
714 MB
- Xet hash:
- f1099f388d718d723a76556e678dbaf2abb598677f487457fede2a42d5ca928f
- Size of remote file:
- 714 MB
- SHA256:
- 7b69fc88907abfb0be48988175cbcdf532e4f28d591277fa250715cff1baa957
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