Update README.md

README.md

@@ -5,4 +5,38 @@ base_model: Zyphra/ZR1-1.5B
 
 https://huggingface.co/Zyphra/ZR1-1.5B with ONNX weights to be compatible with Transformers.js.
 
+
+### 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/ZR1-1.5B-ONNX",
+  { dtype: "q4f16" },
+);
+
+// Define the list of messages
+const messages = [
+  { role: "system", content: "You are a helpful assistant." },
+  { role: "user", content: "Write me 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}),
+});
+console.log(output[0].generated_text.at(-1).content);
+```
+
 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`).