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AtomicoLabs
/
ALF-pii-nano

Token Classification
Transformers
Safetensors
English
Spanish
deberta-v2
pii
ner
deberta
on-device
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use AtomicoLabs/ALF-pii-nano with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="AtomicoLabs/ALF-pii-nano")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AtomicoLabs/ALF-pii-nano")
    model = AutoModelForTokenClassification.from_pretrained("AtomicoLabs/ALF-pii-nano", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ALF-pii-nano
291 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
cdelconde's picture
cdelconde
Initial public release 1.0
a223ecf verified 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • LICENSE
    1.07 kB
    Initial public release 1.0 2 days ago
  • README.md
    1.53 kB
    Initial public release 1.0 2 days ago
  • config.json
    1.96 kB
    Initial public release 1.0 2 days ago
  • labels.json
    946 Bytes
    Initial public release 1.0 2 days ago
  • manifest.json
    625 Bytes
    Initial public release 1.0 2 days ago
  • model.safetensors
    283 MB
    xet
    Initial public release 1.0 2 days ago
  • tokenizer.json
    8.34 MB
    Initial public release 1.0 2 days ago
  • tokenizer_config.json
    509 Bytes
    Initial public release 1.0 2 days ago