Update README.md

README.md

@@ -4,4 +4,40 @@ library_name: transformers.js
 
 https://huggingface.co/alchemab/antiberta2 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
+```
+
+**Example:** Masked language modelling with `Xenova/antiberta2`.
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create a masked language modelling pipeline
+const pipe = await pipeline('fill-mask', 'Xenova/antiberta2');
+
+const output = await pipe('Ḣ Q V Q ... C A [MASK] D ... T V S S');
+console.log(output);
+// [
+//   {
+//     score: 0.48774364590644836,
+//     token: 19,
+//     token_str: 'R',
+//     sequence: 'Ḣ Q V Q C A R D T V S S'
+//   },
+//   {
+//     score: 0.2768442928791046,
+//     token: 18,
+//     token_str: 'Q',
+//     sequence: 'Ḣ Q V Q C A Q D T V S S'
+//   },
+//   ...
+// ]
+```
+
+
+---
+
 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`).