How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="screenpipe/pii-text-redactor")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("screenpipe/pii-text-redactor", device_map="auto")
Quick Links

screenpipe-pii-text-redactor (deprecated)

⚠️ Deprecated β€” superseded. This is an early checkpoint and is no longer maintained (it ships no tokenizer and shouldn't be used).

β†’ Use screenpipe/pii-redactor instead.

The current model is screenpipe's own PII redactor for screen telemetry β€” accessibility trees, OCR'd screen text, and computer-use traces. See its card for benchmarks, usage, and a live in-browser demo:

A screenpipe project Β· louis@screenpi.pe

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