Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- swiss-ai/Apertus-8B-Instruct-2509
+pipeline_tag: text-generation
+library_name: transformers.js
+---
+
+This is an ONNX version of [swiss-ai/Apertus-8B-Instruct-2509](https://huggingface.co/swiss-ai/Apertus-8B-Instruct-2509).
+
+### use with 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**: Basic example
+
+```js
+import { pipeline, TextStreamer } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "swiss-ai/Apertus-8B-Instruct-2509",
+  {
+    device: "webgpu",
+    dtype: "q4f16",
+  },
+);
+
+// Define the list of messages
+const messages = [
+  { role: "system", content: "You are a helpful assistant." },
+  { role: "user", content: "What is the capital of France?" },
+];
+
+// 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);
+// The capital of France is Paris.
+```