Privacy Filter Binaries

Prebuilt privacy-filter.cpp binaries for Linux, macOS, and Windows.

Installation

You may install the precompiled binaries and GGUF model using the following instructions.

Both are required to use the privacy-filter.cpp command line tool. The binary is the executable that runs the classification, while the model contains the data and parameters needed for the classification process.

Binary

Download the archive for your platform from the latest release:

curl -L -o privacy-filter.tar.gz \
  https://github.com/DirectoryTree/PrivacyFilterBinaries/releases/latest/download/privacy-filter-darwin-arm64.tar.gz

tar -xzf privacy-filter.tar.gz

Model

Download the GGUF model:

mkdir -p models

curl -L -o models/privacy-filter-f16.gguf \
  https://huggingface.co/LocalAI-io/privacy-filter-GGUF/resolve/main/privacy-filter-f16.gguf

Usage

Classify text from stdin:

echo 'Contact John Doe at jdoe@example.com from 555-0100.' \
  | ./privacy-filter-darwin-arm64/bin/privacy-filter --classify models/privacy-filter-f16.gguf 0.5

The final argument is the classification threshold. It is the minimum confidence score an entity must meet before it is returned. Increasing the threshold returns fewer, higher-confidence entities, while decreasing it may return more entities with lower confidence.