Update README.md

README.md

@@ -5,4 +5,49 @@ base_model: facebook/MobileLLM-125M
 
 https://huggingface.co/facebook/MobileLLM-125M 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/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+**Example:** Text generation with `onnx-community/MobileLLM-125M`.
+
+```js
+import { pipeline } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "onnx-community/MobileLLM-125M",
+  { dtype: "fp32" },
+);
+
+// Define the list of messages
+const text = "Q: What is the capital of France?\nA: Paris\nQ: What is the capital of England?\nA:";
+
+// Generate a response
+const output = await generator(text, { max_new_tokens: 30 });
+console.log(JSON.stringify(output[0].generated_text));
+```
+
+<details>
+
+<summary>Example output</summary>
+
+```
+Q: What is the capital of France?
+A: Paris
+Q: What is the capital of England?
+A: London
+Q: What is the capital of Scotland?
+A: Edinburgh
+Q: What is the capital of Wales?
+A: Cardiff
+```
+</details>
+
+
 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`).