metadata
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 JavaScript library from NPM using:
npm i @huggingface/transformers
You can then generate text as follows:
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);