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DDSC
/
roberta-base-scandinavian

Fill-Mask
Transformers
PyTorch
JAX
TensorBoard
Danish
roberta
scandinavian
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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")
    # pip install -U transformers accelerate
    # 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
roberta-base-scandinavian
1.03 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 18 commits
elishowk's picture
elishowk
Automatic correction of README.md metadata. Contact website@huggingface.co for any question
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