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
- Xet hash:
- 139310ff32238208173bf44f22c02ef08d5d7202fd3d6474a62a372c46449618
- Size of remote file:
- 499 MB
- SHA256:
- 6fe9967d0b9fdb5374695c76317885a2d09eeba8ff9892d741604970e638570e
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