README.md · onnx-community/Llama-3.2-1B-Instruct at main

metadata

library_name: transformers.js
license: llama3.2

https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct with ONNX weights to be compatible with 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

Example: Text generation with onnx-community/Llama-3.2-1B-Instruct.

import { pipeline } from "@huggingface/transformers";

// Create a text generation pipeline
const generator = await pipeline("text-generation", "onnx-community/Llama-3.2-1B-Instruct");

// Define the list of messages
const messages = [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Tell me a joke." },
];

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

Example output

Here's a joke for you:

What do you call a fake noodle?

An impasta!

I hope that made you laugh! Do you want to hear another one?

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).