wav2vec2-base-960h__w2v2_asr_frontend_fp16automatic-speech-recognition · family: wav2vec2
| Source | https://huggingface.co/litert-community/wav2vec2-base-960h-LiteRT |
|---|---|
| License | apache-2.0 |
| Model file | 78571632ad4de4a6021c229942d64271d42d094004f7170bd5e12a0cc0bce2ca.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 | run_failed | — | — | — | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-20 | measured |
webgpu_mldrift | pass | yes | — | 37.113 | mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.3 | 2026-08-20 | 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 wav2vec2-base-960h__w2v2_asr_frontend_fp16: load the model from https://huggingface.co/litert-community/wav2vec2-base-960h-LiteRT/resolve/main/78571632ad4de4a6021c229942d64271d42d094004f7170bd5e12a0cc0bce2ca.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 wav2vec2-base-960h__w2v2_asr_frontend_fp16 with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row wav2vec2-base-960h__w2v2_asr_frontend_fp16,https://huggingface.co/litert-community/wav2vec2-base-960h-LiteRT/resolve/main/78571632ad4de4a6021c229942d64271d42d094004f7170bd5e12a0cc0bce2ca.tflite,1x256000:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/wav2vec2-base-960h__w2v2_asr_frontend_fp16.json with the sweep table on this page.