https://huggingface.co/baidu/ERNIE-4.5-0.3B-PT 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 generate text as follows:
import { pipeline, TextStreamer } from "@huggingface/transformers";
// Create a text generation pipeline
const generator = await pipeline(
"text-generation",
"onnx-community/ERNIE-4.5-0.3B-ONNX",
{ dtype: "fp32" }, // Options: "fp32", "fp16", "q8", "q4", "q4f16"
);
// Define the list of messages
const messages = [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "What is the capital of France?" },
];
// Generate a response
const output = await generator(messages, {
max_new_tokens: 512,
do_sample: false,
streamer: new TextStreamer(generator.tokenizer, { skip_prompt: true, skip_special_tokens: true}),
});
console.log(output[0].generated_text.at(-1).content);
// The capital of France is Paris.
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 ๐ค Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx
).
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