| # scribe-punct-en |
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|
| ONNX int8 punctuation + truecasing model for **English**, packaged for |
| [Scribe](https://github.com/AIgrator/Scribe) offline voice dictation. |
| Restores `. , ? ! : ; ' -` and word capitalization on lowercase ASR output. |
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| ## Source |
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| Exported from [felflare/bert-restore-punctuation](https://huggingface.co/felflare/bert-restore-punctuation) |
| (MIT, by Daulet Nurmanbetov) — `bert-base-uncased` fine-tuned on English reviews. |
| Original F1 ~90%. Conversion: `torch.onnx.export` (opset 14) + ONNX Runtime |
| dynamic int8 quantization. No accuracy-sensitive changes, verified output parity |
| on sample dictation before upload. |
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|
| ## Files |
|
|
| | File | Size | Purpose | |
| |---|---|---| |
| | `model.int8.onnx` | ~107 MB | Quantized model (CPU, ~10 ms per phrase) | |
| | `tokenizer.json` | ~0.7 MB | Fast WordPiece tokenizer | |
| | `model.json` | 1 KB | Scribe sidecar: label map (`OU/OO/.O/!O/,O/.U/...`) and decoding style | |
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| ## Label scheme |
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| One label per word: `<punctuation><case>`, e.g. `.U` = period after this word + |
| capitalize this word; `OO` = nothing. See `model.json`. |
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| ## Usage in Scribe |
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| Placed under `models/punct/en/` by Scribe's model manager. Works fully offline |
| via ONNX Runtime. No Python `torch`/`transformers` needed at runtime. |
|
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| ## License |
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| MIT (same as the source model). Attribution: felflare/bert-restore-punctuation. |
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