Create README.md

README.md

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+---
+library_name: transformers.js
+pipeline_tag: image-segmentation
+---
+
+## Usage (Transformers.js)
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
+```bash
+npm i @huggingface/transformers
+```
+
+**Example:** Semantic segmentation with `onnx-community/sapiens-seg-0.3b`.
+
+```js
+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:
+```js
+for (const l of output) {
+  l.mask.save(`${l.label}.png`);
+}
+```