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gpancardo
/
mdeberta-pii

Token Classification
Transformers
Safetensors
deberta-v2
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use gpancardo/mdeberta-pii with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="gpancardo/mdeberta-pii")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gpancardo/mdeberta-pii")
    model = AutoModelForTokenClassification.from_pretrained("gpancardo/mdeberta-pii", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mdeberta-pii
1.13 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
gpancardo's picture
gpancardo
Upload metrics.json with huggingface_hub
42d059b verified about 2 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 months ago
  • README.md
    5.17 kB
    Upload DebertaV2ForTokenClassification about 2 months ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer about 2 months ago
  • config.json
    2.99 kB
    Upload DebertaV2ForTokenClassification about 2 months ago
  • mdeberta-pii_experiment_log.json
    2.08 kB
    Upload mdeberta-pii_experiment_log.json with huggingface_hub about 2 months ago
  • metrics.json
    1.28 kB
    Upload metrics.json with huggingface_hub about 2 months ago
  • model.safetensors
    1.11 GB
    xet
    Upload DebertaV2ForTokenClassification about 2 months ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer about 2 months ago
  • spm.model
    4.31 MB
    xet
    Upload tokenizer about 2 months ago
  • tokenizer.json
    16.4 MB
    xet
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    19.7 kB
    Upload tokenizer about 2 months ago