|
Download README.md from needle-tools/PII-Tracer-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 985 Bytes
-
https://huggingface.co/needle-tools/PII-Tracer-webgpu/resolve/main/README.md
- Command line
-
hf download hf://needle-tools/PII-Tracer-webgpu/README.md
-
curl -L -o README.md https://huggingface.co/needle-tools/PII-Tracer-webgpu/resolve/main/README.md
985 Bytes
metadata
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
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.