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NbAiLab
/
nb-roberta-base-ncc-plus-scandi

Fill-Mask
Transformers
xlm-roberta
Model card Files Files and versions
xet
Community

Instructions to use NbAiLab/nb-roberta-base-ncc-plus-scandi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/nb-roberta-base-ncc-plus-scandi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-ncc-plus-scandi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi")
    model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi")
  • Notebooks
  • Google Colab
  • Kaggle
nb-roberta-base-ncc-plus-scandi
14.2 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
pere's picture
pere
test
1ee6d36 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    28 Bytes
    initial commit over 3 years ago
  • config.json
    693 Bytes
    test over 3 years ago
  • convert_model.py
    142 Bytes
    first over 3 years ago
  • run.sh
    710 Bytes
    first over 3 years ago
  • run_mlm_flax_stream.py
    28.5 kB
    first over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    first over 3 years ago
  • tokenizer.json
    9.1 MB
    first over 3 years ago