README.md · Xenova/distilgpt2 at main

metadata

base_model: distilgpt2
library_name: transformers.js

https://huggingface.co/distilgpt2 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

You can then use the model to generate text like this:

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

// Create a text generation pipeline
const generator = await pipeline(
  "text-generation",
  "Xenova/distilgpt2",
);

// Generate text
const output = await generator("Once upon a time,", { max_new_tokens: 64, do_sample: true });
console.log(output[0].generated_text);

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).