Instructions to use edelfrade/BiRefNet_lite-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use edelfrade/BiRefNet_lite-webgpu with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'edelfrade/BiRefNet_lite-webgpu');
Download onnx/model.onnx from edelfrade/BiRefNet_lite-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 224 MB
-
https://huggingface.co/edelfrade/BiRefNet_lite-webgpu/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://edelfrade/BiRefNet_lite-webgpu/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/edelfrade/BiRefNet_lite-webgpu/resolve/main/onnx/model.onnx
224 MB
- Xet hash:
- 6d016ececf43192d16904918b0736250df48a5a063272ae4048421b7626b580e
- Size of remote file:
- 224 MB
- SHA256:
- fda4d8be0d03f3e4ee2f61aa4a4f2b72e0175b237839e0afc37db0e4d9420a11
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