Instructions to use DDSC/roberta-base-danish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DDSC/roberta-base-danish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DDSC/roberta-base-danish")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DDSC/roberta-base-danish") model = AutoModelForMaskedLM.from_pretrained("DDSC/roberta-base-danish") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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tags:
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- danish
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- roberta
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pipeline_tag:
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widget:
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- text: "På biblioteket kan du låne en <mask>."
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---
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tags:
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- danish
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- roberta
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pipeline_tag: fill-mask
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widget:
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- text: "På biblioteket kan du låne en <mask>."
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---
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