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README.md

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+---
+license: mit
+language: [en]
+library_name: onnx
+pipeline_tag: token-classification
+tags:
+  - onnx
+  - quantized
+  - pii
+  - privacy
+  - browser
+  - transformers.js
+---
+
+# PasteProof PII Detector - ONNX (Browser-Ready)
+
+Quantized ONNX version of [pasteproof-pii-detector-v3](https://huggingface.co/joneauxedgar/pasteproof-pii-detector-v3) for fast browser-side inference.
+
+## Performance
+
+| Metric | Value |
+|--------|-------|
+| Model size | ~147 MB |
+| Inference time | 50-100ms (browser) |
+| Accuracy | ~97% F1 (minimal loss from quantization) |
+
+## Usage with Transformers.js
+
+```javascript
+import { pipeline } from '@xenova/transformers';
+
+const detector = await pipeline(
+  'token-classification',
+  'joneauxedgar/pasteproof-pii-detector-onnx'
+);
+
+const results = await detector('const key = "sk_live_abc123";');
+console.log(results);
+```
+
+## Usage with ONNX Runtime Web
+
+```javascript
+import * as ort from 'onnxruntime-web';
+
+const session = await ort.InferenceSession.create('model.onnx');
+// ... tokenize and run inference
+```
+
+## Files
+
+- `model.onnx` - Quantized ONNX model
+- `tokenizer.json` - Tokenizer vocabulary
+- `tokenizer_config.json` - Tokenizer settings
+- `config.json` - Model configuration
+- `special_tokens_map.json` - Special token mappings
+
+## Original Model
+
+See [pasteproof-pii-detector-v3](https://huggingface.co/joneauxedgar/pasteproof-pii-detector-v3) for full details on entity types and training.