Update README.md

README.md

@@ -19,6 +19,7 @@ tags:
 - moe
 base_model:
 - LiquidAI/LFM2-8B-A1B
+library_name: transformers.js
 ---
 
 <center>
@@ -118,7 +119,43 @@ You can directly pass tools as JSON schema or Python functions with `.apply_chat
 
 ## 🏃 How to run LFM2
 
-### 1. ONNXRuntime
+### 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:
+
+```sh
+npm i @huggingface/transformers
+```
+
+You can then use the model as follows:
+```js
+import { pipeline, TextStreamer } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "onnx-community/LFM2-8B-A1B-ONNX",
+  { dtype: "q4f16", device: "webgpu" },
+);
+
+// Define the list of messages
+const messages = [
+  { role: "user", content: "What's 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);
+```
+
+### ONNXRuntime
 
 ```py
 from transformers import AutoConfig, AutoTokenizer