| --- |
| license: apache-2.0 |
| library_name: onnx |
| tags: |
| - onnx |
| - token-classification |
| - agents |
| - browser |
| - wasm |
| - crf |
| pipeline_tag: token-classification |
| --- |
| |
| # gpu-ask.js (v13) |
|
|
| On-device agent-question tagger for the browser. Two-seed ensemble (~571k parameters × 2), distilled from an Ettin-150m teacher. Emissions are ONNX; features, linear-chain CRF, and the ask-tool compiler ship as TypeScript in [`@ai-ecoverse/gpu-ask.js`](https://www.npmjs.com/package/@ai-ecoverse/gpu-ask.js). |
|
|
| **[Live demo](https://ai-ecoverse.github.io/gpu-ask.js/)** · **[npm](https://www.npmjs.com/package/@ai-ecoverse/gpu-ask.js)** · **[GitHub](https://github.com/ai-ecoverse/gpu-ask.js)** |
|
|
| ## Files (`v13/`) |
|
|
| | File | Role | |
| | --- | --- | |
| | `member0.onnx`, `member1.onnx` | Emission networks (ensemble average at runtime) | |
| | `config.json` | Feature / label / member layout | |
| | `crf.json` | Start and transition scores for Viterbi | |
| | `static_vocab.json` | Static potion-32 table | |
| | `manifest.json` | SHA-256 checksums | |
|
|
| ## Usage |
|
|
| ```ts |
| import * as ort from "onnxruntime-web/wasm"; |
| import { loadAsk, parse } from "@ai-ecoverse/gpu-ask.js"; |
| |
| const ask = await loadAsk( |
| "https://huggingface.co/ai-ecoverse/gpu-ask.js/resolve/main/v13", |
| { ort }, |
| ); |
| const { questions } = await parse(ask, agentMessage); |
| ``` |
|
|
| Weights are also bundled under `models/v13/` in the npm package (`bundledModelUrl()`). |
|
|
| ## Metrics |
|
|
| Pooled out-of-fold on 4,930 hand-labeled public agent turns (v13, constrained kind rerank in Python): false questions 3.7%, kind 85.4%, options_ok 67.5%. The browser path uses compiler kind (no Python-only rerank). |
| |
| ## Training |
| |
| See [ai-ecoverse/gpu-questions](https://github.com/ai-ecoverse/gpu-questions) (`docs/training.md`, recipe v13). Architecture follows [gpu-time](https://gpu-time.arikko.dev). |
| |
| ## License |
| |
| Apache-2.0. Part of [AI Ecoverse](https://github.com/ai-ecoverse). |
| |
