Token Classification
Transformers
Safetensors
privacy_filter
pii
privacy
redaction
screenpipe
deprecated
Instructions to use screenpipe/pii-text-redactor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use screenpipe/pii-text-redactor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="screenpipe/pii-text-redactor")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("screenpipe/pii-text-redactor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
docs: mark deprecated, redirect to screenpipe/pii-redactor
Browse files
README.md
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---
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license: cc-by-nc-4.0
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pipeline_tag: token-classification
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library_name: transformers
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tags:
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- pii
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- privacy
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- redaction
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- screenpipe
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- deprecated
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---
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# screenpipe-pii-text-redactor (deprecated)
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> ⚠️ **Deprecated — superseded.** This is an early checkpoint and is no
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> longer maintained (it ships no tokenizer and shouldn't be used).
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>
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> ### → Use [`screenpipe/pii-redactor`](https://huggingface.co/screenpipe/pii-redactor) instead.
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The current model is screenpipe's own PII redactor for screen telemetry
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— accessibility trees, OCR'd screen text, and computer-use traces. See
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its card for benchmarks, usage, and a live in-browser demo:
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- Model: [`screenpipe/pii-redactor`](https://huggingface.co/screenpipe/pii-redactor)
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- Benchmark + demo: [screenpipe.github.io/screenleak](https://screenpipe.github.io/screenleak/) · [/demo](https://screenpipe.github.io/screenleak/demo/)
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A [screenpipe](https://screenpi.pe) project · `louis@screenpi.pe`
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