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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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base_model:
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- HuggingFaceTB/SmolLM2-360M-Instruct
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pipeline_tag: text-generation
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tags:
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- transformers.js
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---
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## Usage (Transformers.js)
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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:
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```bash
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npm i @huggingface/transformers
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```
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You can then generate text as follows:
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```js
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import { pipeline } from '@huggingface/transformers';
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// Create a text generation pipeline
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const generator = await pipeline('text-generation', 'eduardoworrel/SmolLM2-360M-Instruct', {
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device: 'webgpu', // <- Run on WebGPU
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});
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// Define the list of messages
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const messages = [
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{ role: "system", content: "You are a helpful assistant." },
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{ role: "user", content: "What is the capital of Brazil?" },
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];
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// Generate a response
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const output = await generator(messages, { max_new_tokens: 128 });
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console.log(output[0].generated_text.at(-1).content);
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```
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