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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
screenpipe-pii-text-redactor (deprecated)
⚠️ Deprecated — superseded. This is an early checkpoint and is no longer maintained (it ships no tokenizer and shouldn't be used).
→ Use
screenpipe/pii-redactorinstead.
The current model is screenpipe's own PII redactor for screen telemetry — accessibility trees, OCR'd screen text, and computer-use traces. See its card for benchmarks, usage, and a live in-browser demo:
- Model:
screenpipe/pii-redactor - Benchmark + demo: screenpipe.github.io/screenleak · /demo
A screenpipe project · louis@screenpi.pe
- Downloads last month
- 45