README.md

---
license: mit
base_model:
  - perplexity-ai/PII-Tracer
pipeline_tag: token-classification
library_name: onnx
language:
  - en
  - multilingual
tags:
  - pii
  - privacy
  - token-classification
  - webgpu
  - onnx
---

# PII-Tracer WebGPU weights

ONNX derivative weights of [`perplexity-ai/PII-Tracer`](https://huggingface.co/perplexity-ai/PII-Tracer)
for browser inference on WebGPU or CPU. `catalog.json` lists the available
variants, the graph's inputs and outputs, and the label set. See `LICENSES.md`
for provenance and license details.

The graph takes `input_ids` alone — the bidirectional attention mask the
encoder-only backbone needs is built inside it — and returns per-token BIOES
logits over nine PII types plus a sequence-level sensitivity score. Weights sit
beside each graph in a `.onnx_data` file that must be fetched with it.

Decoding needs the constrained Viterbi step from the original model card; a
per-token argmax admits sequences BIOES cannot produce.