You can deploy this model and start earning money today!

onnx-community/
dfine_l_obj365-ONNX

Name: dfine_l_obj365-ONNX
Availability: InStock

ustc-community/dfine-large-obj365

quantized

Views

No views yet

https://huggingface.co/ustc-community/dfine_l_obj365 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_l_obj365-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).