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StanfordAIMI
/
stanford-deidentifier-base

Token Classification
Transformers
PyTorch
English
bert
sequence-tagger-model
pubmedbert
uncased
radiology
biomedical
bdf-toolbox
Model card Files Files and versions
xet
Community
6

Instructions to use StanfordAIMI/stanford-deidentifier-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StanfordAIMI/stanford-deidentifier-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="StanfordAIMI/stanford-deidentifier-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("StanfordAIMI/stanford-deidentifier-base")
    model = AutoModel.from_pretrained("StanfordAIMI/stanford-deidentifier-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
stanford-deidentifier-base
438 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 31 commits
IAMJB's picture
IAMJB
Update README.md
661b9c1 verified almost 2 years ago
  • .gitattributes
    1.17 kB
    initial commit about 4 years ago
  • README.md
    3.89 kB
    Update README.md almost 2 years ago
  • config.json
    1.19 kB
    Upload config.json about 4 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload pytorch_model.bin about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json about 4 years ago
  • tokenizer_config.json
    29 Bytes
    Update tokenizer_config.json almost 4 years ago
  • vocab.txt
    226 kB
    Upload vocab.txt about 4 years ago