Instructions to use DDSC/roberta-base-scandinavian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDSC/roberta-base-scandinavian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DDSC/roberta-base-scandinavian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DDSC/roberta-base-scandinavian") model = AutoModelForMaskedLM.from_pretrained("DDSC/roberta-base-scandinavian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
language: da
license: cc-by-4.0
tags:
- scandinavian
- roberta
pipeline_tag: fill-mask
widget:
- text: På biblioteket kan du låne en <mask>.
Scandinavian Roberta Base - MC4
Description
This is a sample reference model for Flax/Jax training using only on the MC4. It is trained for roughly three day on a TPU v3-8. Training procedure...
Description
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