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Document synthetic test_nergal.py

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  1. README.md +1 -1
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@@ -98,6 +98,6 @@ nergal = Nergal.from_pretrained(root, local_files_only=True)
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  masked, counts = nergal.scrub(text)
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  ```
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- `hybrid.json` records threshold 0.95 and gap ids `250002` / `250003`.
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  Base weights: [`FacebookAI/xlm-roberta-large`](https://huggingface.co/FacebookAI/xlm-roberta-large) revision `c23d21b0620b635a76227c604d44e43a9f0ee389` (MIT).
 
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  masked, counts = nergal.scrub(text)
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  ```
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+ `hybrid.json` records threshold 0.95 and gap ids `250002` / `250003`. `test_nergal.py` is synthetic (no corpus text). From this snapshot: `python -m unittest test_nergal`.
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  Base weights: [`FacebookAI/xlm-roberta-large`](https://huggingface.co/FacebookAI/xlm-roberta-large) revision `c23d21b0620b635a76227c604d44e43a9f0ee389` (MIT).