Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

SemplificaAI
/
gliner2-privacy-filter-PII-multi

Token Classification
GLiNER2
ONNX
GLiNER
Rust
pii
ner
privacy
redaction
information-extraction
span-extraction
iobinding
Model card Files Files and versions
xet
Community

Instructions to use SemplificaAI/gliner2-privacy-filter-PII-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • GLiNER2

    How to use SemplificaAI/gliner2-privacy-filter-PII-multi with GLiNER2:

    from gliner2 import GLiNER2
    
    model = GLiNER2.from_pretrained("SemplificaAI/gliner2-privacy-filter-PII-multi")
    
    # Extract entities
    text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday."
    result = extractor.extract_entities(text, ["company", "person", "product", "location"])
    
    print(result)
  • GLiNER

    How to use SemplificaAI/gliner2-privacy-filter-PII-multi with GLiNER:

    from gliner import GLiNER
    
    model = GLiNER.from_pretrained("SemplificaAI/gliner2-privacy-filter-PII-multi")
  • Notebooks
  • Google Colab
  • Kaggle
gliner2-privacy-filter-PII-multi
1.55 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
dariofinardi's picture
dariofinardi
initial commit
e1383b2 verified 4 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    28 Bytes
    initial commit 4 days ago