README.md

---
license: apache-2.0
base_model:
- HuggingFaceTB/SmolLM2-360M-Instruct
pipeline_tag: text-generation
tags:
- 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
```

You can then generate text as follows:
```js
import { pipeline } from '@huggingface/transformers';

// Create a text generation pipeline
const generator = await pipeline('text-generation', 'eduardoworrel/SmolLM2-360M-Instruct', {
  device: 'webgpu', // <- Run on WebGPU
});

// Define the list of messages
const messages = [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "What is the capital of Brazil?" },
];

// Generate a response
const output = await generator(messages, { max_new_tokens: 128 });
console.log(output[0].generated_text.at(-1).content);
```