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docs: update HuggingFace links to ruv/ruview (primary repo)
Co-Authored-By: claude-flow <[email protected]>
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‎README.md‎

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@@ -100,7 +100,8 @@ node scripts/mincut-person-counter.js --port 5006 # Correct person counting
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<details open>
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<summary><strong>Download from HuggingFace and start sensing immediately</strong></summary>
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Pre-trained models are available at **https://huggingface.co/ruvnet/wifi-densepose-pretrained**
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Pre-trained models are available on HuggingFace:
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> **https://huggingface.co/ruv/ruview** (primary) | [mirror](https://huggingface.co/ruvnet/wifi-densepose-pretrained)
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Trained on 60,630 real-world samples from an 8-hour overnight collection. Just download and run — no datasets, no GPU, no training needed.
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```bash
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# Download and use (Python)
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pip install huggingface_hub
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huggingface-cli download ruvnet/wifi-densepose-pretrained --local-dir models/
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huggingface-cli download ruv/ruview --local-dir models/
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# Or use directly with the sensing pipeline
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node scripts/train-ruvllm.js --data data/recordings/*.csi.jsonl # retrain on your own data
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| Release | What's included | Tag |
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|---------|-----------------|-----|
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| [v0.6.0](https://github.com/ruvnet/RuView/releases/tag/v0.6.0-esp32) | **Latest** — [Pre-trained models on HuggingFace](https://huggingface.co/ruvnet/wifi-densepose-pretrained), 17 sensing apps, 51.6% contrastive improvement, 0.008ms inference | `v0.6.0-esp32` |
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| [v0.6.0](https://github.com/ruvnet/RuView/releases/tag/v0.6.0-esp32) | **Latest** — [Pre-trained models on HuggingFace](https://huggingface.co/ruv/ruview), 17 sensing apps, 51.6% contrastive improvement, 0.008ms inference | `v0.6.0-esp32` |
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| [v0.5.5](https://github.com/ruvnet/RuView/releases/tag/v0.5.5-esp32) | SNN + MinCut (#348 fix) + CNN spectrogram + WiFlow + multi-freq mesh + graph transformer | `v0.5.5-esp32` |
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| [v0.5.4](https://github.com/ruvnet/RuView/releases/tag/v0.5.4-esp32) | Cognitum Seed integration ([ADR-069](docs/adr/ADR-069-cognitum-seed-csi-pipeline.md)), 8-dim feature vectors, RVF store, witness chain, security hardening | `v0.5.4-esp32` |
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| [v0.5.0](https://github.com/ruvnet/RuView/releases/tag/v0.5.0-esp32) | mmWave sensor fusion ([ADR-063](docs/adr/ADR-063-mmwave-sensor-fusion.md)), auto-detect MR60BHA2/LD2410, 48-byte fused vitals, all v0.4.3.1 fixes | `v0.5.0-esp32` |

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