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Merge pull request #359 from ruvnet/docs/hf-links-update
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docs: update HuggingFace links to ruv/ruview
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rUv 2026-04-03 14:23:17 -04:00 • committed by GitHub
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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
<details open>
<summary><strong>Download from HuggingFace and start sensing immediately</strong></summary>
Pre-trained models are available at **https://huggingface.co/ruvnet/wifi-densepose-pretrained**
Pre-trained models are available on HuggingFace:
> **https://huggingface.co/ruv/ruview** (primary) | [mirror](https://huggingface.co/ruvnet/wifi-densepose-pretrained)
Trained on 60,630 real-world samples from an 8-hour overnight collection. Just download and run — no datasets, no GPU, no training needed.
@ -115,7 +116,7 @@ Trained on 60,630 real-world samples from an 8-hour overnight collection. Just d
```bash
# Download and use (Python)
pip install huggingface_hub
huggingface-cli download ruvnet/wifi-densepose-pretrained --local-dir models/
huggingface-cli download ruv/ruview --local-dir models/
# Or use directly with the sensing pipeline
node scripts/train-ruvllm.js --data data/recordings/*.csi.jsonl # retrain on your own data
@ -1266,7 +1267,7 @@ Download a pre-built binary — no build toolchain needed:
| Release | What's included | Tag |
|---------|-----------------|-----|
| [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` |
| [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` |
| [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` |
| [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` |
| [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` |