https://huggingface.co/facebook/nllb-200-distilled-600M with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @xenova/transformers

You can then perform multilingual translation like this:

import { pipeline } from '@xenova/transformers';

// Create a translation pipeline
const translator = await pipeline('translation', 'Xenova/nllb-200-distilled-600M');

// Translate text from Hindi to French
const output = await translator('जीवन एक चॉकलेट बॉक्स की तरह है।', {
  src_lang: 'hin_Deva', // Hindi
  tgt_lang: 'fra_Latn', // French
});
console.log(output);
// [{ translation_text: 'La vie est comme une boîte à chocolat.' }]

See here for the full list of languages and their corresponding codes.


Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

Downloads last month
1,363
Inference Examples
Inference API (serverless) does not yet support transformers.js models for this pipeline type.

Model tree for Xenova/nllb-200-distilled-600M

Quantized
(1)
this model

Spaces using Xenova/nllb-200-distilled-600M 9