metadata
library_name: transformers.js
base_model: ustc-community/dfine_s_coco
https://huggingface.co/ustc-community/dfine_s_coco with ONNX weights to be compatible with Transformers.js.
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 like this:
import { pipeline } from "@huggingface/transformers";
const detector = await pipeline("object-detection", "onnx-community/dfine_s_coco-ONNX");
const image = "https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg";
const output = await detector(image, { threshold: 0.5 });
console.log(output);
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).