ModelPrésentéExterne

BEN2 ONNX

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

Sourcehuggingface.co/square-zero-labs/BEN2-ONNX/tree/75eb62bc12f6a1b8d33d3effa31d99cb71d0e8c2

TypeOtherModèle de basePramaLLC/BEN2VersionRevision 75eb62bBClasse

Source du modèle

Type: Other
Taille du fichier: 198–209 MB
Modèle de base: PramaLLC/BEN2
Version: vRevision 75eb62b
Mis à jour: 9 oct. 2026
Téléchargements: 25
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.

Input	Output
input	output

Sources

1 source

Hugging FacePrincipalVersion 75eb62bc12f6a1b8d33d3effa31d99cb71d0e8c2

huggingface.co/square-zero-labs/BEN2-ONNX/tree/75eb62bc12f6a1b8d33d3effa31d99cb71d0e8c2

Vérifié 9 oct.

Artefacts du modèle

4 artefacts

onnx/model_fp16_768.onnx

onnx · 198 MB · SHA-256 abe60727f1ba…615b · Hugging Face

Télécharger

onnx/model_fp16_v2.onnx

onnx · 209 MB · SHA-256 484b0300dea7…b162 · Hugging Face

Télécharger

onnx/model_fp16_v3.onnx

onnx · 209 MB · SHA-256 31b9264d290b…9845 · Hugging Face

Télécharger

onnx/model_fp16.onnx

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

Télécharger

Extraits de sources

3 extraits

Readme31 juil.huggingface.co/square-zero-labs/BEN2-ONNX

--- 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) |

Note9 oct.huggingface.co/square-zero-labs/BEN2-ONNX

Source context: 25 downloads · 1 likes · Pipeline image-segmentation · Library transformers.js · Repo square-zero-labs/BEN2-ONNX

Note31 juil.huggingface.co/square-zero-labs/BEN2-ONNX

Source context: 649 downloads · 0 likes · Pipeline image-segmentation · Library transformers.js · Repo square-zero-labs/BEN2-ONNX