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h2oai
/
deberta_finetuned_pii

Token Classification
Transformers
PyTorch
Safetensors
English
deberta
Model card Files Files and versions
xet
Community
2

Instructions to use h2oai/deberta_finetuned_pii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use h2oai/deberta_finetuned_pii with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="h2oai/deberta_finetuned_pii")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("h2oai/deberta_finetuned_pii")
    model = AutoModelForTokenClassification.from_pretrained("h2oai/deberta_finetuned_pii", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
deberta_finetuned_pii
2.22 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
arnocandel's picture
arnocandel
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#2)
68089cd verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.28 kB
    Update README.md about 2 years ago
  • added_tokens.json
    78 Bytes
    Upload 15 files about 2 years ago
  • config.json
    6.31 kB
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  • gitattributes
    1.52 kB
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  • merges.txt
    456 kB
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  • model.safetensors
    555 MB
    xet
    Adding `safetensors` variant of this model (#2) over 1 year ago
  • optimizer.pt
    1.11 GB
    xet
    Upload 15 files about 2 years ago
  • pytorch_model.bin
    555 MB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
    xet
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  • special_tokens_map.json
    173 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.31 kB
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  • trainer_state.json
    22.8 kB
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  • training_args.bin
    4.16 kB
    xet
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  • vocab.json
    798 kB
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