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UMCU
/
CardioBERTa.nl_clinical

Fill-Mask
Transformers
Safetensors
Dutch
roberta
medical
healthcare
Model card Files Files and versions
xet
Community

Instructions to use UMCU/CardioBERTa.nl_clinical with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UMCU/CardioBERTa.nl_clinical with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="UMCU/CardioBERTa.nl_clinical")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("UMCU/CardioBERTa.nl_clinical")
    model = AutoModelForMaskedLM.from_pretrained("UMCU/CardioBERTa.nl_clinical")
  • Notebooks
  • Google Colab
  • Kaggle
CardioBERTa.nl_clinical
1.33 GB
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  • 1 contributor
History: 17 commits
UMCU's picture
UMCU
Upload 2 files
65bf291 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.49 kB
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  • UMCU_CardioBERTa.nl_clinical_epoch0_step79999_20250623_model.safetensors
    664 MB
    xet
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  • config.json
    672 Bytes
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  • merges.txt
    539 kB
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  • model.safetensors
    664 MB
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  • special_tokens_map.json
    772 Bytes
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  • tokenizer.json
    1.54 MB
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  • tokenizer_config.json
    1.19 kB
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  • vocab.json
    893 kB
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  • vocab_bak.json
    893 kB
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