| license: mit | |
| base_model: | |
| - PramaLLC/BEN2 | |
| pipeline_tag: image-segmentation | |
| library_name: transformers.js | |
| tags: | |
| - background-removal | |
| ## 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**: Remove background of an image | |
| ```js | |
| import { pipeline } from '@huggingface/transformers'; | |
| const segmenter = await pipeline('background-removal', 'onnx-community/BEN2-ONNX'); | |
| const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/woman-with-afro_medium.jpg'; | |
| const output = await segmenter(url); | |
| output[0].save('mask.png'); | |
| // You can also use `output[0].toCanvas()` or `await output[0].toBlob()` if you would like to access the output without saving. | |
| ``` | |
| | Input| Output | | |
| |--------|--------| | |
| |  |  | | |