Skip to content
ModelListedExternal
Download

BEN2 ONNX

If you haven't already, you can install the Transformers.js JavaScript library from NPM using: npm i @huggingface/transformers

KindOtherBase modelPramaLLC/BEN2VersionRevision c552aa8Bgrade

Model source

Kind
Other
File size
209 MB
Base model
PramaLLC/BEN2
Version
vRevision c552aa8
Updated
Oct 10, 2026
Downloads
6.1K
Source
Hugging Face

Source description

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.
InputOutput
inputoutput

Sources

1 source
Hugging FacePrimaryVersion c552aa82688edce09f0ac9d2e31ad53d9d629010
huggingface.co/onnx-community/BEN2-ONNX/tree/c552aa82688edce09f0ac9d2e31ad53d9d629010

Verified Sep 12

Model artifacts

1 artifact

onnx/model_fp16.onnx

onnx · 209 MB · SHA-256 dfdc25f421f3…edf1 · Hugging Face

Download

Source excerpts

3 excerpts

--- 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 | |--------|--------| | ![input](https://github.com/user-attachments/assets/e39c66b3-a3cd-4fcb-846f-899fbe95cbf5) | ![output](https://github.com/user-attachments/assets/90d4507e-74e0-4a75-9fc4-2c9d6d3cfaa5) |

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