Add sample code

README.md

@@ -72,6 +72,45 @@ for everyone.
 }
 ```
 
+## 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/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+You can then use the model like this:
+```js
+import { pipeline, TextStreamer } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "onnx-community/gemma-3-270m-it-ONNX",
+  { dtype: "fp32" },
+);
+
+// Define the list of messages
+const messages = [
+  { role: "system", content: "You are a helpful assistant." },
+  { role: "user", content: "Write a poem about machine learning." },
+];
+
+// Generate a response
+const output = await generator(messages, {
+  max_new_tokens: 512,
+  do_sample: false,
+  streamer: new TextStreamer(generator.tokenizer, {
+    skip_prompt: true,
+    skip_special_tokens: true,
+    // callback_function: (text) => { /* Optional callback function */ },
+  }),
+});
+console.log(output[0].generated_text.at(-1).content);
+```
+
 ## Model Data
 
 Data used for model training and how the data was processed.