Instructions to use wonfy/BiRefNet_lite-ONNX-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use wonfy/BiRefNet_lite-ONNX-webgpu with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('image-segmentation', 'wonfy/BiRefNet_lite-ONNX-webgpu');
Download onnx/model.onnx from wonfy/BiRefNet_lite-ONNX-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 245 MB
-
https://huggingface.co/wonfy/BiRefNet_lite-ONNX-webgpu/resolve/main/onnx/model.onnx
- Command line
-
hf download hf://wonfy/BiRefNet_lite-ONNX-webgpu/onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/wonfy/BiRefNet_lite-ONNX-webgpu/resolve/main/onnx/model.onnx
245 MB
- Xet hash:
- d1f079ffc33bfeedeec28351d8ff01bad3482f29ab62494618bfe213714cfbdc
- Size of remote file:
- 245 MB
- SHA256:
- b69359ea66471e57f59099d2e84146091a0534d0d56aa2e33d6bc1ef5e92ccca
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