Instructions to use NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4 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-1e4 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-1e4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4")
model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4", device_map="auto")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-ncc-plus-scandi-1e4")