Update README.md

README.md

@@ -68,6 +68,34 @@ pip install trl
 trl chat --model_name_or_path HuggingFaceTB/SmolLM2-360M-Instruct --device cpu
 ```
 
+### Transformers.js
+
+```bash
+npm i @huggingface/transformers
+```
+
+```js
+import { pipeline } from "@huggingface/transformers";
+
+// Create a text generation pipeline
+const generator = await pipeline(
+  "text-generation",
+  "HuggingFaceTB/SmolLM2-135M-Instruct",
+);
+
+// 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: 128 });
+console.log(output[0].generated_text.at(-1).content);
+// "The capital of France is Paris."
+```
+
+
 ## Evaluation
 
 In this section, we report the evaluation results of SmolLM2. All evaluations are zero-shot unless stated otherwise, and we use [lighteval](https://github.com/huggingface/lighteval) to run them.