Token Classification
Transformers
ONNX
xlm-roberta
pii
privacy
redaction
accessibility-tree
ocr
computer-use
agentic
screen-capture
screenpipe
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
contact: correct Google Workspace inbox (louis@screenpi.pe)
Browse files
LICENSE
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If you want to use this model commercially, contact:
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Commercial licenses are available and reasonably priced. Including:
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production deployment, redistribution rights, support, SLA-backed
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If you want to use this model commercially, contact:
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louis@screenpi.pe
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Commercial licenses are available and reasonably priced. Including:
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production deployment, redistribution rights, support, SLA-backed
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