fasttext.wasm.js
Node and Browser env supported WebAssembly version of fastText: Library for efficient text classification and representation learning.

WebAssembly version of fastText with compressed lid.176.ftz
model (~900KB) and a typescript wrapper. This project focuses on cross-platform, zero-dependency and out-of-the-box.
Features
- Written in TypeScript
- Supported Node, Worker, Browser and Browser extension runtime
- Integrated language identification
Usage
In Node.js, you should use this approach for binding js best performance.
import { getLIDModel } from 'fasttext.wasm.js'
const lidModel = await getLIDModel()
await lidModel.load()
const result = await lidModel.identify('Hello, world!')
console.log(result)
In others environments, use like below:
import { getLIDModel } from 'fasttext.wasm.js/common'
const lidModel = await getLIDModel()
await lidModel.load()
const result = await lidModel.identify('Hello, world!')
console.log(result)
Do not forget that download and place /fastText/fasttext.common.wasm
and /fastText/models/lid.176.ftz
in public root directory. You can override the default paths if necessary.
Benchmark
codesandbox/language-detect-benchmark
Related
Credits
References
Build & Publish
Requirements
Pay attention, add source ./emsdk_env.sh
to shell profile to auto load emsdk env, and export EMSDK_QUIET=1
can be used to suppress these messages.
npm run build
npx changeset
npx changeset version
git commit
npx changeset publish
git push --follow-tags
changeset
prerelease doc
License
MIT License © 2023 Yuns