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Runs in the browser · Text utilities

Run Punctuate All in your browser

Punctuate All downloads 413.1 MB over WebGPU (q4f16), or 265.7 MB over WebAssembly (uint8), to restore punctuation and capitalization to raw text entirely in the tab with Transformers.js. No install, no server.

Text utilities · onnx-community/punctuate-all-ONNX

WebGPU download
413.1 MB
q4f16
WASM download
265.7 MB
uint8
Parameters
278.89M
Pipeline task
token-classification

Reading

Param count is read from its xlm-roberta-base backbone (the token-classification head adds negligibly more); treat it as approximate.

The WASM build downloads smaller here: 265.7 MB (uint8) against 413.1 MB (q4f16) for WebGPU. The CPU-fallback quant compresses tighter than the GPU pick for this model.

The quant ladder spans 4.0x: 265.7 MB (uint8) to 1.03 GB (fp32).

Will it run in your browser?

Live check this browser

Checking for WebGPU support…

All measured variants

Quant Download size
Variant Size
uint8 WASM pick 265.7 MB
q4f16 WebGPU pick 413.1 MB
fp16 529.5 MB
q8 531.5 MB
bnb4 780.3 MB
q4 785.3 MB
fp32 1.03 GB

Sizes measured from the HuggingFace API file tree for onnx-community/punctuate-all-ONNX, not estimated.

Use it with Transformers.js

import { pipeline } from "@huggingface/transformers";

const pipe = await pipeline("token-classification", "onnx-community/punctuate-all-ONNX", {
  device: "webgpu", // usually falls back to "wasm"; wrap in try/catch for production
  dtype: "q4f16", // use "uint8" for the WASM build
});

const result = await pipe(/* your input */);

Requires npm install @huggingface/transformers (or the CDN build).

Sources

Same job, different size

FAQ

WebGPU or WASM for Punctuate All, in practice?

Chrome, Edge, and Safari 26+ run the WebGPU build (q4f16) on the GPU. Firefox has WebGPU on Windows and Apple Silicon Macs but not everywhere yet. Any browser without a WebGPU adapter falls back automatically to the WebAssembly build (uint8) on CPU: same model, slower to load, slower to run.

What does q4f16 mean for Punctuate All?

The WebGPU build here uses q4f16: 4-bit weights with some layers kept at 16-bit for stability: WebGPU's usual smallest clean build. The WASM fallback uses uint8: 8-bit integers: about a quarter the size of fp32, with a smaller quality trade than 4-bit.

Sizes measured 2026-08-01 from the HuggingFace API. Last validated 2026-08-03. See all browser models or the methodology.