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BEN2 ONNX

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

TypeOtherModèle de basePramaLLC/BEN2VersionRevision c552aa8BClasse

Source du modèle

Type
Other
Taille du fichier
209 MB
Modèle de base
PramaLLC/BEN2
Version
vRevision c552aa8
Mis à jour
10 oct. 2026
Téléchargements
6,1 k
Source
Hugging Face

Description de la source

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 FacePrincipalVersion c552aa82688edce09f0ac9d2e31ad53d9d629010
huggingface.co/onnx-community/BEN2-ONNX/tree/c552aa82688edce09f0ac9d2e31ad53d9d629010

Vérifié 12 sept.

Artefacts du modèle

1 artefact

onnx/model_fp16.onnx

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

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Extraits de sources

3 extraits

--- 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