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DataikuNLP
/
kiji-pii-model

Token Classification
Transformers
ONNX
Safetensors
deberta-v2
pii
privacy
ner
crf
Model card Files Files and versions
xet
Community

Instructions to use DataikuNLP/kiji-pii-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DataikuNLP/kiji-pii-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="DataikuNLP/kiji-pii-model")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DataikuNLP/kiji-pii-model", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
kiji-pii-model
1.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
hanneshapke's picture
hanneshapke
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888b530 verified 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    4.35 kB
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  • added_tokens.json
    23 Bytes
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  • config.json
    823 Bytes
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  • crf_transitions.json
    63.9 kB
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  • label_mappings.json
    2.73 kB
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  • model.onnx
    738 MB
    xet
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  • model.safetensors
    737 MB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.66 MB
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  • tokenizer_config.json
    1.32 kB
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  • vocab.txt
    213 kB
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