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protectai
/
lakshyakh93-deberta_finetuned_pii-onnx

Token Classification
Transformers
ONNX
English
deberta
Model card Files Files and versions
xet
Community

Instructions to use protectai/lakshyakh93-deberta_finetuned_pii-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use protectai/lakshyakh93-deberta_finetuned_pii-onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="protectai/lakshyakh93-deberta_finetuned_pii-onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("protectai/lakshyakh93-deberta_finetuned_pii-onnx")
    model = AutoModelForTokenClassification.from_pretrained("protectai/lakshyakh93-deberta_finetuned_pii-onnx", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lakshyakh93-deberta_finetuned_pii-onnx
559 MB
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  • 2 contributors
History: 10 commits
cmdevries's picture
cmdevries
Update README.md
dd51ea2 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    614 Bytes
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  • config.json
    6.32 kB
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  • merges.txt
    456 kB
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  • model.onnx
    555 MB
    xet
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  • special_tokens_map.json
    963 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.31 kB
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  • vocab.json
    798 kB
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