Update README.md

README.md

@@ -4,4 +4,35 @@ library_name: "transformers.js"
 
 https://huggingface.co/gpt2 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 use the model to generate text as follows:
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create a text-generation pipeline
+const generator = await pipeline('text-generation', 'Xenova/gpt2');
+
+// Generate text (default parameters)
+const text = 'Once upon a time,';
+const output = await generator(text);
+console.log(output);
+// [{ generated_text: 'Once upon a time, I was in a room with a woman who was very attractive. She was' }]
+
+// Generate text (custom parameters)
+const output2 = await generator(text, {
+    max_new_tokens: 20,
+    do_sample: true,
+    top_k: 5,
+});
+console.log(output2);
+// [{ generated_text: 'generated_text: 'Once upon a time, the first thing I did was put a small piece of paper on a table. I put the paper' }]
+```
+
 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`).