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De-emphasize specific architecture names in prose

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  1. README.md +5 -5
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- tags: [pii, redaction, layoutlmv3, yolo, minilm, document-ai]
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  ---
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  # eka-pii-redaction model weights
@@ -10,12 +10,12 @@ Single repo holding the models used by the Eka-PII-redactors GitHub repo
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  can use the Eka-PII-redactors repo directly to use these models — it has
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  the library, a Docker image, and a FastAPI server.
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- - `image/layoutlmv3/` — LayoutLMv3 token classifier for **text PII in
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  images** (47 categories), run on Tesseract OCR words.
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- - `image/yolo/best.pt` — YOLO detector for **visual entities** (signature,
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  seal/stamp, QR/barcode, face photo, fingerprint, logo).
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- - `text/minilm/` — multilingual MiniLM token classifier for **PII in plain
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- text** (no image, no OCR).
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  **Try it live:** [ekacare/pii-redactor-demo](https://huggingface.co/spaces/ekacare/pii-redactor-demo)
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  — upload a document image or paste text and see detection + redaction run
 
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  ---
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  license: apache-2.0
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+ tags: [pii, redaction, document-ai]
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  ---
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  # eka-pii-redaction model weights
 
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  can use the Eka-PII-redactors repo directly to use these models — it has
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  the library, a Docker image, and a FastAPI server.
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+ - `image/layoutlmv3/` — a text-in-image classifier for **text PII in
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  images** (47 categories), run on Tesseract OCR words.
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+ - `image/yolo/best.pt` — a detector for **visual entities** (signature,
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  seal/stamp, QR/barcode, face photo, fingerprint, logo).
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+ - `text/minilm/` — a lightweight multilingual classifier for **PII in
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+ plain text** (no image, no OCR).
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  **Try it live:** [ekacare/pii-redactor-demo](https://huggingface.co/spaces/ekacare/pii-redactor-demo)
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  — upload a document image or paste text and see detection + redaction run