Instructions to use NbAiLab/nb-roberta-base-scandi-tpuold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-roberta-base-scandi-tpuold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-scandi-tpuold")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-scandi-tpuold") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-scandi-tpuold") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 095c5c1f9b0062246f14b0d931d31820132451676b39741a904b488cf223ba7a
- Size of remote file:
- 1.11 GB
- SHA256:
- 010c5b5daec63d186688448abf562064e4e7ddebfe3e9d0a70290b6fbd41eaf0
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