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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

screenpipe
/
pii-redactor

Token Classification
Transformers
ONNX
xlm-roberta
pii
privacy
redaction
accessibility-tree
ocr
computer-use
agentic
screen-capture
screenpipe
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use screenpipe/pii-redactor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="screenpipe/pii-redactor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("screenpipe/pii-redactor")
    model = AutoModelForTokenClassification.from_pretrained("screenpipe/pii-redactor", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
pii-redactor / v49_distilled6l
135 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
louis030195's picture
louis030195
v49_distilled6l: v20 mixed int4/int8 - 116MB, 300k EN 89.1/7.4 oversmash, FR 86.8 DE 77.1 NL 85, secret 35/0, bench EN 76.6
fc39ff3 verified about 1 month ago
  • config.json
    2.17 kB
    v49_distilled6l: v20 mixed int4/int8 - 116MB, 300k EN 89.1/7.4 oversmash, FR 86.8 DE 77.1 NL 85, secret 35/0, bench EN 76.6 about 1 month ago
  • model_quantized.onnx
    116 MB
    xet
    v49_distilled6l: v20 mixed int4/int8 - 116MB, 300k EN 89.1/7.4 oversmash, FR 86.8 DE 77.1 NL 85, secret 35/0, bench EN 76.6 about 1 month ago
  • remap.json
    1.85 MB
    v49_distilled6l: v20 mixed int4/int8 - 116MB, 300k EN 89.1/7.4 oversmash, FR 86.8 DE 77.1 NL 85, secret 35/0, bench EN 76.6 about 1 month ago
  • tokenizer.json
    17.1 MB
    xet
    v49_distilled6l: v20 mixed int4/int8 - 116MB, 300k EN 89.1/7.4 oversmash, FR 86.8 DE 77.1 NL 85, secret 35/0, bench EN 76.6 about 1 month ago