movinet-a0-streamvideo-classification · family: movinet
| Source | https://huggingface.co/litert-community/MoViNet-A0-Stream-LiteRT |
|---|---|
| License | apache-2.0 |
| Model file | 64841a4c8419d448019b54731d6d0dc77d6239d4d0c1a8e2a0415545377f56c7.tflite — downloaded from the source at runtime; this site hosts no weights |
Preparing…
Every number is labeled with the environment that produced it — headless desktop Chromium is not a user’s phone, and results are only meaningful together with their environment.
| Backend | Status | Full delegation | Output match | Latency p50 (ms) | Environment | Verified | Provenance |
|---|---|---|---|---|---|---|---|
wasm_xnnpack | pass | — | — | 7.13 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-11 | measured |
webgpu_mldrift | output_mismatch | no | fail | 13.255 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-11 | measured |
Full record (failure class, evidence, sweep config): raw sweep JSON · card.json · CARD.md
One-line prompt for your AI coding assistant (uses the litert-cookbook web skill):
Use the litert-cookbook web skill to build a LiteRT.js browser demo for movinet-a0-stream: load the model from https://huggingface.co/litert-community/MoViNet-A0-Stream-LiteRT/resolve/main/64841a4c8419d448019b54731d6d0dc77d6239d4d0c1a8e2a0415545377f56c7.tflite (license: apache-2.0) and run it with @litertjs/core.
One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:
In the edge-compat repo, verify movinet-a0-stream with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row movinet-a0-stream,https://huggingface.co/litert-community/MoViNet-A0-Stream-LiteRT/resolve/main/64841a4c8419d448019b54731d6d0dc77d6239d4d0c1a8e2a0415545377f56c7.tflite,1x3x172x172:float32;1x80x22x22:float32;1x80x22x22:float32;1x80x22x22:float32;1x80x22x22:float32;1x80x22x22:float32;1x80x22x22:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x112x11x11:float32;1x112x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x184x11x11:float32;1x384x6x6:float32;1x384x6x6:float32;1x384x6x6:float32;1x384x6x6:float32;1x24x1x1:float32;1x80x1x1:float32;1x80x1x1:float32;1x80x1x1:float32;1x184x1x1:float32;1x112x1x1:float32;1x184x1x1:float32;1x184x1x1:float32;1x184x1x1:float32;1x184x1x1:float32;1x184x1x1:float32;1x384x1x1:float32;1x280x1x1:float32;1x280x1x1:float32;1x344x1x1:float32;1x480x1x1:float32;1x1x1x1:float32;1x1x1x1:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/movinet-a0-stream.json with the sweep table on this page.