BEN2 ONNX
If you haven't already, you can install the Transformers.js JavaScript library from NPM using: npm i @huggingface/transformers
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 209 MB
- Modelo base
- PramaLLC/BEN2
- Versión
- vRevision c552aa8
- Actualizado
- 10 oct 2026
- Descargas
- 6,1 mil
- Fuente
- Hugging Face
Descripción de la fuente
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Remove background of an image
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 |
|---|---|
| input | output |
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 12 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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 | |--------|--------| |  |  |
Source context: 6125 downloads · 23 likes · Pipeline image-segmentation · Library transformers.js · Repo onnx-community/BEN2-ONNX
Source context: 5425 downloads · 22 likes · Pipeline image-segmentation · Library transformers.js · Repo onnx-community/BEN2-ONNX
