Instructions to use NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3650d3b25348557a3e604328283274e70318a5340908447f7ce23fdb99ecffa6
- Size of remote file:
- 1.11 GB
- SHA256:
- 42916e9c6dbe2aa05f0c24a373a94f75f50c49799cb03e92fe9ed54eb5bbbe77
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