Update README.md

README.md

@@ -6,4 +6,31 @@ pipeline_tag: translation
 
 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](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+```bash
+npm i @xenova/transformers
+```
+
+You can then perform multilingual translation like this:
+```js
+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](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200) 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](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).