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japanese-zipformer-base

automatic-speech-recognition · family: zipformer

Sourcehttps://huggingface.co/litert-community/japanese-zipformer-base-LiteRT
Licenseapache-2.0
Model filea63277edf68e02c13e22938c5eb3a2ec27d663eb55df9758ee896494a54ba414.tflite — downloaded from the source at runtime; this site hosts no weights

Run it in your browser

—backend actually in use
—live latency p50

Preparing…

Measured sweep results

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.

BackendStatusFull delegationOutput matchLatency p50 (ms)EnvironmentVerifiedProvenance
wasm_xnnpackrun_failed———mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.32026-08-20measured
webgpu_mldriftpassyes—61.167mac-studio-m4-max · chromium 151.0.7922.34 headless · macOS · @litertjs/core 2.5.32026-08-20measured

Full record (failure class, evidence, sweep config): raw sweep JSON · card.json · CARD.md

Build this yourself

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 japanese-zipformer-base: load the model from https://huggingface.co/litert-community/japanese-zipformer-base-LiteRT/resolve/main/a63277edf68e02c13e22938c5eb3a2ec27d663eb55df9758ee896494a54ba414.tflite (license: apache-2.0) and run it with @litertjs/core.

Reproduce this with an agent

One-line prompt for Claude Code / Gemini CLI — re-runs the same sweep verification for this model, locally:

In the edge-compat repo, verify japanese-zipformer-base with the sweep harness: write /tmp/catalog.csv with the header line model_id,source,input_spec,license,notes and the single row japanese-zipformer-base,https://huggingface.co/litert-community/japanese-zipformer-base-LiteRT/resolve/main/a63277edf68e02c13e22938c5eb3a2ec27d663eb55df9758ee896494a54ba414.tflite,1x256000:float32;1x799:float32;1x400:float32;1x200:float32;1x100:float32,apache-2.0, — then run: cd web/sweep && npm ci && npm run sweep -- --catalog /tmp/catalog.csv --out out/ — and compare out/japanese-zipformer-base.json with the sweep table on this page.