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DTAI-KULeuven
/
robbertje-1-gb-non-shuffled

Fill-Mask
Transformers
PyTorch
Dutch
roberta
Dutch
Flemish
RoBERTa
RobBERT
RobBERTje
Model card Files Files and versions
xet
Community
1

Instructions to use DTAI-KULeuven/robbertje-1-gb-non-shuffled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DTAI-KULeuven/robbertje-1-gb-non-shuffled with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="DTAI-KULeuven/robbertje-1-gb-non-shuffled")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbertje-1-gb-non-shuffled")
    model = AutoModelForMaskedLM.from_pretrained("DTAI-KULeuven/robbertje-1-gb-non-shuffled", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
robbertje-1-gb-non-shuffled
299 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 13 commits
pdelobelle's picture
pdelobelle
Update README.md
5aa4e6e over 3 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    3.93 kB
    Update README.md over 3 years ago
  • config.json
    644 Bytes
    Added pipeline type about 5 years ago
  • merges.txt
    383 kB
    Initial commit about 5 years ago
  • parameters.json
    1.5 kB
    Initial commit about 5 years ago
  • pytorch_model.bin
    297 MB
    xet
    Initial commit about 5 years ago
  • tokenizer.json
    1.12 MB
    Upload tokenizer.json almost 4 years ago
  • vocab.json
    733 kB
    Initial commit about 5 years ago