# fastencoder

> > Use pretrained fasttext models to generate word and sentence embeddings.

Latest version **0.0.1** (published 2020-08-25) · ISC license · 0 weekly downloads

## Install

```sh
npm install fastencoder
pnpm add fastencoder
yarn add fastencoder
bun add fastencoder
```

## Health

**Score 15/100 (F)** — status: abandoned.

Positive: no vulnerabilities.

Warnings: low downloads; no types; no esm support; pre 1.0.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 0.0.1 |
| Published | 2020-08-25 |
| First published | 2020-08-25 |
| Weekly downloads | 0 |
| License | ISC |
| TypeScript types | none |
| Module format | CommonJS |
| Dependencies | 1 |
| Unpacked size | 5 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| Author | GAFO TECH |
| Maintainers | gafo |

## Links

- npm: https://www.npmjs.com/package/fastencoder
- npm.io page: https://npm.io/package/fastencoder

## Dependencies (1)

- [mathjs](https://npm.io/package/mathjs.md) ^7.1.0

## Recent versions

- 0.0.1 (latest) — 2020-08-25

## README

## fastencoder

> Use pretrained fasttext models to generate word and sentence embeddings.


## Data

Download word embeddings [here](https://fasttext.cc/docs/en/english-vectors.html).

Create `data.vec` to be used by application:
```bash
head -n 50000 `filename`.vec > data.vec
```

## Usage

```javascript
let FastEncoder = require('fastencoder');

(async () => {

    // Instantiate and load encoder
    let encoder = new FastEncoder();
    await encoder.load('./data.vec');

    // Get word/sentence embedding
    let vector = encoder.encode('hello');
    console.log(vector.length);

    // Get most similar words
    let similar = encoder.getSimilar('hello', 3);
    console.log(similar);

})();

```

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_Source: https://npm.io/package/fastencoder · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._