Instructions to use pere/nb-roberta-base-scandi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/nb-roberta-base-scandi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/nb-roberta-base-scandi")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/nb-roberta-base-scandi") model = AutoModelForMaskedLM.from_pretrained("pere/nb-roberta-base-scandi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699470cb25865fb03fbbed3ee1057a71deab3ed44bfade018f5dc3571a7c617a
- Size of remote file:
- 1.11 GB
- SHA256:
- 8a04d8032d9ff18b1b727c98ee3bea82de1d908107d257d94486dba8650f5680
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