Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @huggingface/transformers

Example: Semantic segmentation with onnx-community/sapiens-seg-0.3b.

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

const segmenter = await pipeline('image-segmentation', 'onnx-community/sapiens-seg-0.3b');

const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/ryan-gosling.jpg';
const output = await segmenter(url);
console.log(output)
// [
//   {
//     score: null,
//     label: 'Background',
//     mask: RawImage { ... }
//   },
//   {
//     score: null,
//     label: 'Apparel',
//     mask: RawImage { ... }
//   },
//   ...
// ]

You can visualize the outputs with:

for (const l of output) {
  l.mask.save(`${l.label}.png`);
}
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Inference Examples
Inference API (serverless) does not yet support transformers.js models for this pipeline type.