Instructions to use NbAiLab/nb-roberta-base-scandinavian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-roberta-base-scandinavian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-scandinavian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-scandinavian") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-scandinavian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57152f206a43052a1525c933715bd1dbe3b76984c43f31d42efef80c4269ebb1
- Size of remote file:
- 499 MB
- SHA256:
- 95e26332a282f00db4b34330bceaec2b4bc6c2a6166aeef8692dcf9ee7a5881a
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